Job Description

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Key Role and Responsibilities:

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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.
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Must Have:

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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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Robust knowledge of joints and common table expressions (CTEs)
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Strong experience with Python




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Experience in Snowflake, ETL, SQL, CI/CD
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Solid 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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Positive to know about AWS services such as S3, Athena, Glue, EMR/Spark with a major emphasis on S3 and Glue.
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Good-to-Have Skills:

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Experience with Big Data Tools and technologies
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Good Understanding of data structures and data analysis
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Knowledge of Insurance Domain is an addition.
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Qualifications:

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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