Vacancy Description
Location: Bangalore
Job Summary:
We are seeking an experienced Data Engineer with deep expertise in AWS-based data ecosystems and hands-on experience with relational databases such as Aurora or Oracle. The ideal candidate will possess strong knowledge of data processing, ETL/ELT pipelines, and cloud-native engineering practices. Experience with Snowflake, Databricks, or large-scale data migrations is highly desirable. Prior exposure to the banking or financial services sector is a significant advantage.
Responsibilities:
Design ETL/ELT pipelines using AWS services including S3, Glue, EMR, Lambda, and Step Functions.
Build and maintain data ingestion frameworks leveraging AWS Aurora (My SQL/Postgres) and Oracle.
Develop and optimize SQL for large-scale, high-volume datasets.
Collaborate with cross-functional teams including analysts, data scientists, and business stakeholders.
Implement data quality and validation frameworks with automated monitoring and ing.
...
Job Summary:
We are seeking an experienced Data Engineer with deep expertise in AWS-based data ecosystems and hands-on experience with relational databases such as Aurora or Oracle. The ideal candidate will possess strong knowledge of data processing, ETL/ELT pipelines, and cloud-native engineering practices. Experience with Snowflake, Databricks, or large-scale data migrations is highly desirable. Prior exposure to the banking or financial services sector is a significant advantage.
Responsibilities:
Design ETL/ELT pipelines using AWS services including S3, Glue, EMR, Lambda, and Step Functions.
Build and maintain data ingestion frameworks leveraging AWS Aurora (My SQL/Postgres) and Oracle.
Develop and optimize SQL for large-scale, high-volume datasets.
Collaborate with cross-functional teams including analysts, data scientists, and business stakeholders.
Implement data quality and validation frameworks with automated monitoring and ing.
...
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