Description

You will build and maintain data pipelines to support large-scale data processing and analysis.

Responsibilities

• Develop and maintain ETL/ELT pipelines using SSIS, Spark, and SQL stored procedures.
• Implement scalable solutions for increasing data volumes using Apache Spark and cloud technologies.
• Write complex SQL queries and perform detailed data analysis.
• Manage data within relational database management systems like SQL Server and Snowflake.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in writing SQL queries and data analysis.
• Hands-on experience with Apache Spark and Hadoop.
• Experience with Kafka and big data technologies.
• Strong programming skills in Java, Scala, or Python.
• Experience with relational database management systems including SQL Server and Snowflake.
• Experience with BI tools such as Tableau.
• Bachelor's degree in a relevant field.
• Prior experience working in the Banking or Finance domain.

Key Skills

Education

Bachelor's degree