Data Engineer
Summary
Build and maintain data pipelines and ETL workflows for a BFSI company, using Python/Java, SQL, Spark, Hadoop, and AWS services.
Design and develop data pipelines and ETL processes, manage data warehouse/data lake/database schema, perform data validation and cleansing, monitor performance, troubleshoot data pipelines, and prepare technical documentation, You will be tasked in BFSI industry / Willing to be placed in BFSI industry.
Job Description
2-5 years of experience in data engineering/data warehousing, strong skills in Python/Java and SQL, experience with SQL Server/Oracle databases, big data tools such as Spark/Hadoop, AWS cloud platform, cloud ETL such as AWS Glue/Lambda, Airflow/Kafka, CI/CD tools such as BitBucket/Jenkins, and English proficiency.