Job Description

nKey Role and Responsibilities:
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- Understand and translate business needs into data models supporting long-term solutions.n
- Perform reverse engineering of physical data models from databases and SQL scripts. Analyze data-related system integration challenges and propose appropriate solutions.n
- Assist with and support setting the data architecture direction (including data movement approach, architecture/technology strategy, and any other data-related considerations to ensure business value)n
- Design and implement data pipelines, Optimize data processing and storage, Ensure data solutions meet performance standards, Provide technical support, Collaborate with stakeholders.n

nMust Have:
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- 8+ Years of experience as a Data Engineern
- Strong technical expertise in SQL Advanced SQL querying skills (joins, subqueries, CTEs, aggregation)n
- Solid knowledge of joints and common table expressions (CTEs)n




- Strong experience with Pythonn
- Experience in Snowflake, ETL, SQL, CI/CDn
- Strong expertise in ETL process and with various data model conceptsn
- Knowledge of Star Schema and snowflake scheman
- Good to know about AWS services such as S3, Athena, Glue, EMR/Spark with a major emphasis on S3 and Glue.n

nGood-to-Have Skills:
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- Experience with Big Data Tools and technologiesn
- Good Understanding of data structures and data analysisn
- Knowledge of Insurance Domain is an addition.n

nQualifications:
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- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.n
- 7+ years of experience in data engineering roles using AWS and Snowflake.n
- Strong problem-solving, communication, and collaboration skills.n

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📌 Senior Data Engineer (Gurugram)
🏢 EXL
📍 Gurugram