Sql

Principal Analyst – MLOps Engineer

Role Overview
We are seeking a highly skilled Senior MLOps Engineer with 8+ years of experience to join our team. The ideal candidate will have extensive expertise in model deployment, model monitoring, and productionizing machine learning models. You will play a crucial role in designing and implementing efficient workflows for AI programming and team communication, ensuring seamless integration of ML solutions within our organization.
Key Responsibilities:
• Workflow Design & Implementation: Oversee the implementation of workflows for AI programming and team communication, ensuring optimal collaboration and efficiency.
• Model Deployment: Manage and optimize model deployment processes, including the use of Kubernetes for containerized model deployment and orchestration.
• Model Registry Management: Maintain and manage a model registry to track versions and ensure smooth transitions from development to production.
• CI/CD Implementation: Develop and implement Continuous Integration/Continuous Deployment (CI/CD) pipelines for model training, testing, and deployment, ensuring high code quality through rigorous model code reviews.
• Model Monitoring & Optimization: Design and implement model inference pipelines and monitoring frameworks to support thousands of models across various pods, optimizing execution times and resource usage.
• Team Leadership & Training: Manage, mentor, and train junior engineers, fostering their growth and learning while overseeing a large team
• Collaboration with Data Science Teams: Train and collaborate with data science team members on best practices in tools such as Kubeflow, Jenkins, Docker, and Kubernetes to ensure smooth model productionization.
• Reusable Frameworks Development: Draft designs and apply reusable frameworks for drift detection, live inference, and API integration.
• Cost Optimization Initiatives: Propose and implement strategies to reduce operational costs, including optimizing models for resource efficiency, resulting in significant annual savings.
• Documentation & Standards Development: Produce MLE standards documents to assist data science teams in deploying their models effectively and consistently.
Qualifications:
• 8+ years of experience in MLOps, model deployment, and productionizing machine learning models.
• Proficient in Kubernetes, model monitoring, and CI/CD practices. Experience working in the Azure environment.
• Strong understanding of model registry concepts and best practices.
• Experience with programming languages and ML frameworks (e.g., TensorFlow, PyTorch).
• Proven track record of optimizing ML workflows and processes.
• Excellent communication and leadership skills, with experience in mentoring and training team members.
• Ability to work in a fast-paced, collaborative environment.

Principal Analyst – MLOps Engineer Read More »

Data Engineer (GCP)

Responsibilities

We are seeking a highly skilled and motivated Senior Principal Analyst to join our team. The ideal candidate will possess
a strong technical background with expertise in various programming languages and data technologies, coupled with
exceptional business acumen and communication skills. As a Senior Principal Analyst, you will be responsible for leading
technical initiatives, designing innovative solutions, and providing expert consultation to our clients.

Key Responsibilities:
Technical:
• Proficiency in programming languages including Python, SQL, Spark, and PySpark.
• Extensive experience in Data Warehousing, Solution Architecture, ETL processes, and SQL skills.
• In-depth knowledge of data integration frameworks and techniques.
• Hands-on experience with Cloud platforms such as AWS, GCP, Azure, and/or Snowflake.
• GCP knowledge including experience in Big Query, Dataflow, Cloud Composer, Dataproc and GCS
• 5+ years of experience in solutioning and design in data & analytics projects
• Experience in handling multiple projects as a Data Architect and/or Solution Architect
• 5+ years of hands-on experience in implementing data Integration frameworks to ingest terabytes of data in batch
and real-time to an analytical environment
• 3+ years of experience in Cloud data migration (GCP preferred)
• Hands-on experience with ETL pipeline development and functional programming

Business:
• Ability to translate complex business problems into technical solution architectures.
• Develop and demonstrate Proof of Concepts (POCs) related to data ingestion and data quality.
• Design and implement frameworks and reusable codes to streamline processes.
• Conduct technical client presentations and provide consulting services to clients.

Behavioural:
• Demonstrated passion for the role and commitment to the company’s objectives.
• Strong technical aptitude and ability to stay updated with the latest technological trends.
• Excellent written and verbal communication skills.
• Analytical and creative thinking abilities to solve complex problems.
• Collaborative mindset with the ability to work effectively in a team environment.
• Self-driven and proactive approach towards achieving goals.

Qualifications:
• Bachelor’s or master’s degree in computer science, Information Technology, or related field.
• Minimum of 10 years of experience in a similar role with recent 8 years of relevant experience
• Proven track record of successfully delivering technical solutions to clients.
• Relevant certifications in programming languages, data technologies, or cloud platforms would be advantageous.

Data Engineer (GCP) Read More »

Data Engineer (AWS)

Job description:

We are seeking a highly skilled and motivated Senior Principal Analyst to join our team. The ideal candidate will possess
a strong technical background with expertise in various programming languages and data technologies, coupled with exceptional business acumen and communication skills. As a Senior Principal Analyst, you will be responsible for leading
technical initiatives, designing innovative solutions, and providing expert consultation to our clients.

Key Responsibilities:

Technical:
• 8+ years of experience solutioning and design in Data engineering
• Strong in Data Modelling Skills, Data Warehousing, and Architecture with ETL & SQL Skills
• Experience in handling multiple projects as Data Architect and/or Solution Architect
• Hands on in creating data architecture
• 6+ years of Cloud technologies such as AWS/Snowflake etc.
• 6+ years’ experience in Programming Python / Pyspark
• 6+ years of hands-on experience in implementing data Integration frameworks to ingest terabytes of data in
batch and real-time to an analytical environment.
• 5+ years of experience in developing big data applications in Cloud (AWS and Snowflake)
• Deep knowledge of Database technologies such as Relational and non-relational databases
• Hands on experience with ETL pipeline development
• Must be good in developing ETL layer for high data volume transaction processing.
• Experience with any ETL/ELT preferred DBT tool with Data modelling, and Data warehousing
concepts.
• Agile/Scrum methodology experience is required.
Business:
• Ability to translate complex business problems into technical solution architectures.
• Develop and demonstrate Proof of Concepts (POCs) related to data ingestion and data quality.
• Design and implement frameworks and reusable codes to streamline processes.
• Conduct technical client presentations and provide consulting services to clients.
Behavioral:
• Demonstrated passion for the role and commitment to the company’s objectives.
• Strong technical aptitude and ability to stay updated with the latest technological trends.
• Excellent written and verbal communication skills.
• Analytical and creative thinking abilities to solve complex problems.
• Collaborative mindset with the ability to work effectively in a team environment.
• Self-driven and proactive approach towards achieving goals.

Qualifications:
• Bachelor’s or master’s degree in engineering and technology

Data Engineer (AWS) Read More »

GCP Data Engineer

Factspan Overview: Factspan is a pure play data and analytics services organization. We partner with fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and implement new processes that help them succeed. With offices in Seattle, Washington and Bengaluru, India; we use a global delivery model to service our customers. Our customers include industry leaders from Retail, Financial Services, Hospitality, and technology sectors.
Responsibilities: We are seeking a highly skilled and motivated Senior Principal Analyst to join our team. The ideal candidate will possess a strong technical background with expertise in various programming languages and data technologies, coupled with exceptional business acumen and communication skills. As a Senior Principal Analyst, you will be responsible for leading technical initiatives, designing innovative solutions, and providing expert consultation to our clients.
Key Responsibilities:
Technical:
• Proficiency in programming languages including Python, SQL, Spark, and PySpark.
• Extensive experience in Data Warehousing, Solution Architecture, ETL processes, and SQL skills.
• In-depth knowledge of data integration frameworks and techniques.
• Hands-on experience with Cloud platforms such as AWS, GCP, Azure, and/or Snowflake.
• GCP knowledge including experience in Big Query, Dataflow, Cloud Composer, Dataproc and GCS
• 5+ years of experience in solutioning and design in data & analytics projects
• Experience in handling multiple projects as a Data Architect and/or Solution Architect
• 5+ years of hands-on experience in implementing data Integration frameworks to ingest terabytes of data in batch and real-time to an analytical environment x
• 3+ years of experience in Cloud data migration (GCP preferred)
• Hands-on experience with ETL pipeline development and functional programming
Business:
• Ability to translate complex business problems into technical solution architectures.
• Develop and demonstrate Proof of Concepts (POCs) related to data ingestion and data quality. • Design and implement frameworks and reusable codes to streamline processes.
• Conduct technical client presentations and provide consulting services to clients.
Behavioural:
• Demonstrated passion for the role and commitment to the company’s objectives.
• Strong technical aptitude and ability to stay updated with the latest technological trends.
• Excellent written and verbal communication skills.
• Analytical and creative thinking abilities to solve complex problems.
• Collaborative mindset with the ability to work effectively in a team environment.
• Self-driven and proactive approach towards achieving goals.
Qualifications:
• Bachelor’s or master’s degree in computer science, Information Technology, or related field.
• Minimum of 10 years of experience in a similar role with recent 8 years of relevant experience
• Proven track record of successfully delivering technical solutions to clients.
• Relevant certifications in programming languages, data technologies, or cloud platforms would be advantageous

GCP Data Engineer Read More »

Senior Principal Analyst (SPA) – Data Science

Responsibilities

We are seeking a highly skilled and motivated Senior Principal Analyst to join our team. The ideal candidate will
possess a strong technical background with expertise in various programming languages and data technologies, Data
Science and Artificial Intelligence coupled with exceptional business acumen and communication skills. As a Senior
Principal Analyst, you will be responsible for leading technical initiatives, designing innovative solutions, and providing expert consultation to our clients.

Key Responsibilities:

• Develop & implement machine learning models & algorithms to extract insights from large datasets.
• Select features, build, and optimize classifiers/regressors using machine learning and deep learning techniques.
• Process, cleanse, and verify the integrity of data used for analysis.
• Perform data mining and analytics to support continuous risk monitoring and risk assessments.
• Utilize various statistical techniques and predictive modeling to drive and identify indicators of risk.
• Design & maintain effective information and data models that align with the organization’s data requirements and
objectives.
• Translate complex business problems into technical solutions and architectures.
• Develop and present Proof of Concepts (POCs) and technical client presentations.
• Mentor and provide guidance to junior data scientists and analysts.

Technical Skills:

• Advanced proficiency in Python coding for AI/ML algorithms and data analytics.
• Strong grasp of machine learning algorithms: Random Forest, Gradient Boosting, Naive Bayes, SVM, KNN.
• Deep understanding of deep learning techniques: DNN, CNN, RNN, LSTM, Autoencoders.
• Proficiency with ML/AI software and tools: scikit-learn, TensorFlow, PyTorch, CARET.
• Solid understanding of statistical concepts: Sampling Theory, Descriptive Statistics, Probability Distributions,
Statistical Tests, Dimensionality Reduction, Hypothesis Testing, Maximum Likelihood Estimators, and Inference.
• Expertise in model validation, hyperparameter tuning, and model selection techniques: Cross-validation, Bootstrap methods.
• Proficiency in data analytics tools for queries and analyses, and data visualization platforms for summaries,
predictive analyses, comparative analyses, dashboards, and reports.
• Strong command of query languages: SQL and Spark.
• Familiarity with cloud platforms such as AWS and GCP is a plus.

Qualifications:

• Bachelor’s or master’s degree in computer science, Information Technology, Engineering, or a related field.
• Minimum of 10 years of experience in a similar role with recent 8 years of relevant experience.
• Relevant certifications in programming languages, data technologies, or cloud platforms would be advantageous.

Senior Principal Analyst (SPA) – Data Science Read More »

Manager – Analytics

Responsibilities:

We are seeking a highly skilled and experienced Web Analytics Manager to join our team. In this role, you will lead and
oversee analytics initiatives, focusing on web analytics using Adobe Analytics. Additionally, you will leverage your expertise
in Ecommerce, GCP, SQL, and project management to ensure successful project delivery and client satisfaction.

Key Responsibilities:

• Lead and manage web analytics projects, utilizing Adobe Analytics, SQL, and Google Cloud Platform (GCP) tools.
• Collaborate with client stakeholders to understand business objectives, define project requirements, and translate
requirements into actionable analytics strategies.
• Design and implement analytics tracking solutions to capture relevant data points and insights on website
performance, user behavior, and Ecommerce transactions.
• Conduct data analysis using SQL and Looker to extract meaningful insights and provide recommendations for
optimization and improvement.
• Drive the execution of analytics projects, managing timelines, resources, and deliverables to ensure project milestones
are met within scope and budget.
• Develop and deliver client-facing presentations and reports, communicating key findings, insights, and
recommendations effectively.
• Stay updated with industry trends and best practices in web analytics, Ecommerce, and data management to
continuously enhance service offerings.

Qualifications & Experience:

• Bachelor’s degree in computer science, Information Systems, or related field.
• 6+ years of experience in Web Analytics, with a proven track record of handling analytics initiatives using Adobe
Analytics.
• Proficiency in SQL with experience in writing complex queries to extract and manipulate data from databases.
• Should have team and delivery management experience and also have strong client interactions/presentation skill
ability.
• Exposure to GCP services like BigQuery and Dataflow Looker is a plus.
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Ability to communicate effectively with technical and non-technical stakeholders.
• Experience working in Agile development environments is a plus.
• Adobe certifications are a plus.

Manager – Analytics Read More »

Senior Principal Analyst (SPA) – Data Engineering

Responsibilities

The Senior Principal Analyst will be responsible for driving large multi-environment project end to end and will act more of individual contributor

– Design and develop reusable classes for ETL code pipelines and responsible for optimistic ETL framework design.

– Plan and execute the projects and be able to guide the junior folks in the team.

– Excellent presentation and communication skills, and strong team player

– Experience in working with clients, stakeholders, product owners to collect requirements and creating solutions, estimations.

Qualifications & Experience:

– 5+ years of experience solutioning and design in data & analytics projects

– Strong in Data Modelling Skills, Data Warehousing, and Architecture with ETL & SQL Skills

– Experience in handling multiple projects as Data Architect and/or Solution Architect

– 6+ years of Big Data Processing technologies such as Spark, Hadoop etc.

– 6+ years’ experience in Programming Python/Scala/Java & Linux shell scripting

– 6+ years of hands-on experience in implementing data Integration frameworks to ingest terabytes of data in batch and real-time to an analytical environment.

– 3+ years of experience in developing big data applications in Cloud (AWS/GCP/Azure and/or Snowflake)

– Deep knowledge of Database technologies such as Relational and NoSQL

– Hands on experience with ETL pipeline development and functional programming preferably with Scala, Python, Spark, and R

– Must be good in developing ETL layer for high data volume transaction processing.

– Experience with any ETL tool (Informatica/DataStage/SSIS/Talend) with Data modelling, and Data warehousing concepts

– Good to have jobs execution/debugging experience with PySpark, PyKafka classes, with combination of Docker containerization.

– Agile/Scrum methodology experience is required.

Senior Principal Analyst (SPA) – Data Engineering Read More »

Senior Principal Analyst- Data Science

Responsibilities

We are seeking a highly skilled and motivated Senior Principal Analyst to join our team. The ideal candidate will
possess a strong technical background with expertise in various programming languages and data technologies, Data
Science and Artificial Intelligence coupled with exceptional business acumen and communication skills. As a Senior
Principal Analyst, you will be responsible for leading technical initiatives, designing innovative solutions, and providing expert consultation to our clients.

Key Responsibilities:

• Develop & implement machine learning models & algorithms to extract insights from large datasets.
• Select features, build, and optimize classifiers/regressors using machine learning and deep learning techniques.
• Process, cleanse, and verify the integrity of data used for analysis.
• Perform data mining and analytics to support continuous risk monitoring and risk assessments.
• Utilize various statistical techniques and predictive modeling to drive and identify indicators of risk.
• Design & maintain effective information and data models that align with the organization’s data requirements and
objectives.
• Translate complex business problems into technical solutions and architectures.
• Develop and present Proof of Concepts (POCs) and technical client presentations.
• Mentor and provide guidance to junior data scientists and analysts.

Technical Skills:

• Advanced proficiency in Python coding for AI/ML algorithms and data analytics.
• Strong grasp of machine learning algorithms: Random Forest, Gradient Boosting, Naive Bayes, SVM, KNN.
• Deep understanding of deep learning techniques: DNN, CNN, RNN, LSTM, Autoencoders.
• Proficiency with ML/AI software and tools: scikit-learn, TensorFlow, PyTorch, CARET.
• Solid understanding of statistical concepts: Sampling Theory, Descriptive Statistics, Probability Distributions,
Statistical Tests, Dimensionality Reduction, Hypothesis Testing, Maximum Likelihood Estimators, and Inference.
• Expertise in model validation, hyperparameter tuning, and model selection techniques: Cross-validation, Bootstrap methods.
• Proficiency in data analytics tools for queries and analyses, and data visualization platforms for summaries,
predictive analyses, comparative analyses, dashboards, and reports.
• Strong command of query languages: SQL and Spark.
• Familiarity with cloud platforms such as AWS and GCP is a plus.

Qualifications:

• Bachelor’s or master’s degree in computer science, Information Technology, Engineering, or a related field.
• Minimum of 10 years of experience in a similar role with recent 8 years of relevant experience.
• Relevant certifications in programming languages, data technologies, or cloud platforms would be advantageous.

Senior Principal Analyst- Data Science Read More »

Scroll to Top