Key Role and Responsibilities: /n /n
Understand and translate business needs into data models supporting long-term solutions.

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Perform reverse engineering of physical data models from databases and SQL scripts. Analyze data-related system integration challenges and propose appropriate solutions.

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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)

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Design and implement data pipelines, Optimize data processing and storage, Ensure data solutions meet performance standards, Provide technical support, Collaborate with stakeholders.

/n /n Must Have: /n /n
8+ Years of experience as a Data Engineer

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Strong technical expertise in SQL Advanced SQL querying skills (joins, subqueries, CTEs, aggregation)

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Solid knowledge of joints and common table expressions (CTEs)

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Robust experience with Python

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Experience in Snowflake, ETL, SQL, CI/CD

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Strong expertise in ETL process and with various data model concepts

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Knowledge of Star Schema and snowflake schema

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Good to know about AWS services such as S3, Athena, Glue, EMR/Spark with a major emphasis on S3 and Glue.

/n /n Valuable-to-Have Skills: /n /n
Experience with Big Data Tools and technologies

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Valuable Understanding of data structures and data analysis

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Knowledge of Insurance Domain is an addition.

/n /n Qualifications: /n /n
Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.

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7+ years of experience in data engineering roles using AWS and Snowflake.

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Strong problem-solving, communication, and collaboration skills.

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📌 Senior Data Engineer Gurugram
🏢 EXL
📍 Gurugram