Description

You will build, maintain, and optimize enterprise ETL processes and data pipelines.

This role is remote.

Responsibilities

• Develop ETL processes using SSIS, Python, and SQL for SQL Server and Oracle.
• Build and optimize data pipelines for structured, semi-structured, and unstructured data.
• Provide Level 2/3 support, troubleshooting scheduled jobs and resolving bottlenecks.
• Write complex SQL queries, stored procedures, and reverse engineer existing processes.
• Perform code reviews to ensure adherence to standards and optimal execution patterns.

Required Skills

• 5+ years of SSIS development experience.
• 5+ years of Python coding experience.
• 5+ years of SQL Server-based development managing large datasets.
• Proficiency in SQL, including stored procedures.
• Experience with data warehousing, OLTP, Dimensions, Facts, and Data modeling.
• Ability to work with business users and business analysts.
• Degree in an engineering or computer science discipline.

Preferred Skills

• Experience with Enterprise Schedulers or orchestration platforms such as Tidal or Airflow.
• Experience with cloud data warehouses like Snowflake or cloud-based data architectures.
• Experience developing and deploying ETL pipelines using Databricks PySpark.

Key Skills

Education

Any Graduate