Loading open roles
Vrinda Global
Data Engineer (AWS)
Vrinda Global · posted 5 months ago
Indiadata engineer
About the role
Job Description
Role: Data Engineer
Location: India (Hybrid)
Requirements:
• 5+ Years of experience as a Data Engineer
• Strong technical expertise in SQL Advanced SQL querying skills (joins, subqueries, CTEs, aggregation)
• Strong knowledge of joins and common table expressions (CTEs)
• 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 knowledge of Python
Education: Bachelor’s degree in computer science, Software Engineering, MIS or equivalent combination of education and experience
Key Skills: SQL, Snowflake, Python, AWS
Location: India (Hybrid)
Requirements:
• 5+ Years of experience as a Data Engineer
• Strong technical expertise in SQL Advanced SQL querying skills (joins, subqueries, CTEs, aggregation)
• Strong knowledge of joins and common table expressions (CTEs)
• 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 knowledge of Python
Education: Bachelor’s degree in computer science, Software Engineering, MIS or equivalent combination of education and experience
Key Skills: SQL, Snowflake, Python, AWS
Responsibilities
Key Role and 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.
• Analyse 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).
• Understand and translate business needs into data models supporting long-term solutions.
• Perform reverse engineering of physical data models from databases and SQL scripts.
• Analyse 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).
Qualifications
Bachelor Degree