Description

You will build scalable data solutions and drive data-driven decision-making.

This role is hybrid.

Responsibilities

• Build and optimize data pipelines and datasets using scripting languages and ETL tools.
• Model data and manage data warehouses across various platforms.
• Process and analyze large, disparate datasets, including structured and unstructured data.
• Develop and consume APIs to exchange data between systems.
• Perform root cause analysis to answer business questions and identify improvements.

Required Skills

• 5+ years of relevant experience in data engineering or IT roles.
• 3+ years of experience in data modeling and database development using enterprise database platforms.
• 1+ year of experience with big data and cloud technologies (Spark, Hadoop, Python).
• 1+ year of experience building data pipelines and ETL workflows using orchestration tools (Airflow, Informatica, Kafka).
• Strong working knowledge of SQL, including query development and database design.
• 1+ year of experience developing applications using modern programming frameworks (C#/.NET).
• Experience with relational databases and data warehouse management.

Key Skills

Education

Any Graduate