Senior Data Engineering Analyst – SQL, Python, AI, ML, Azure

Role:

·Partner with stakeholders to understand data requirements.

·Producing and managing the delivery of activity and value analytics to external stakeholders and clients.

·Team members will typically use business intelligence, data visualization, and query analytic and statistical software to build solutions, perform analysis and interpret data.

Primary job responsibilities include:

·Responsible for the management and manipulation of mostly structured data.

·Delivering Business Intelligence solutions using Agile software development process.

·Conducting analysis, performing normalization operations and assuring data quality.

·Utilize Python and its libraries (scikit-learn, Pandas, NumPy, TensorFlow, PyTorch) for data processing and model development.

• Design, build, and optimize AI models and generative AI applications.
• Create and fine-tune prompts for generative AI systems, including zero-shot, few-shot, and chain-of-thought approaches.
• Implement and manage RAG modeling using vector databases (Milvus, Chroma, FAISS).

·Creating specifications to bring data into a common structure.

·Creating product specifications and reporting models.

·Performing data analysis and interpreting data/business insights.

·Develop and maintain data preparation and validation routines to support data mining.

·Analytical – Synthesizes complex or diverse information, collects and researches data, uses intuition and experience to complement data, design workflows and procedures.

·Developing actionable insights and presenting recommendations for use across the internal/external stakeholder and leadership.

·Establish, refine and integrate development and test environment tools and software as needed.

·Identify production and non-production application issues.

·Ability to quickly analyze existing code, identify performance/reliability/scalability issues, propose solutions, and code optimization/updates as required.

·Provide technical support and consultation for database and infrastructure questions.

Skills Required:

·Must have extensive exposure in data analysis and business insights.

·Experience in database design, programming, testing and implementation using SQL with standard practices and procedures.

·Experience in writing TSQL statements, stored procedures and views using industry best practices for security and efficiency.

·On-the job experience working with relational database management systems like Microsoft SQL Server, Oracle etc.

·Must have extensive hands-on experience in ETL methodologies.

·Must have experience in building business intelligence solutions preferably using Snowflake.

·1-2 years of experience in AI and machine learning .

·Understanding of LLM, Transformer, AI frameworks and libraries such as Tensorflow, PyTorch or similar

·Good to have experience in building data pipelines using Azure data integration tools.

·Experience and understanding on database performance tuning, database Management, requirements analysis, software development fundamentals.

·Ability to conduct analysis to ensure quality of data at various stages of its evolution.

·Proficiency in end-to-end analytics.

·Excellent problem solving, documentation skills, written & verbal communication skills.

·Excellent data Maintenance, database Security, promoting process improvement skills.

·Ability to drive for excellence with a strong sense of urgency.

·Ability to prioritize effectively.

·Ability to get to the bottom of issues (root-cause).

·Ability to be a creative problem-solver.

·Ability to build relationships with peers, team members and business partners.

·Ability to guide the planning and mitigation of critical tasks and timelines and align them to the over-all strategy.

·Should be able to work independently with minimum support/mentoring.

·Willing to learn new technology.

·Should be open for development and support.

·Able to write user and technical documentation.

·Hands on experience in dealing with global customers to gather requirements and translate them into solutions using the necessary skills.

·Perform proof of concept analyses.

·Experience in investigating and responding to routine or standard requests.

·Experience in solving complex problems and developing innovative solutions.

General:

This is a high visibility role requiring high energy due to the constant interaction with the customers.Good to have a candidate with following abilities:-

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