Urgent opening For AWS Data Engineer

Role: AWS Data Engineer
Exp:4 + Years
Key Responsibilities:

Understand and translate business needs into data models supporting long-term
solutions.
Perform reverse engineering of physical data models from databases and SQL
scripts.
Analyze data-related system integration challenges and propose appropriate
solutions.
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)
Responsibilities for Internal Candidates
Design and implement data pipelines, Optimize data processing and storage,
Ensure data solutions meet performance standards, Provide technical support,
Collaborate with stakeholders.
Must-Have Skills:

5+ Years of experience as a Data Engineer
Strong technical expertise in SQL Advanced SQL querying skills (joins, subqueries,
CTEs, aggregation)
Strong knowledge of joints and common table expressions (CTEs)
Strong experience with Python
Experience in Snowflake, ETL, SQL, CI/CD
Strong expertise in ETL process and with various data model concepts
Knowledge of Star Schema and snowflake schema
Good to know about AWS services such as S3, Athena, Glue, EMR/Spark with a
major emphasis on S3 and Glue.
Good-to-Have Skills:

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Experience with Big Data Tools and technologies
Good Understanding of data structures and data analysis
Knowledge of Insurance Domain is an addition.
Qualifications:
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Bachelors or masters degree in computer science, Data Engineering,
Information Systems, or a related field.