Description

You build and maintain scalable data management systems and pipelines.

This role is on-site.

Responsibilities

• Design, construct, test, and maintain scalable data management systems.
• Build high-performance data pipelines for ingestion, transformation, and loading.
• Develop and manage data warehouse solutions ensuring data accuracy and scalability.
• Implement automated monitoring, alerting, and validation for data pipelines.
• Collaborate with Data Scientists, Analysts, and stakeholders to deliver optimized data solutions.

Required Skills

• 4+ years of application development experience using Python, PySpark, and SQL.
• 4+ years working with public cloud platforms, with AWS preferred.
• 2+ years experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark).
• 4+ years hands-on experience in data warehousing (e.g., Redshift, Snowflake).
• 2+ years experience implementing NoSQL databases.
• 2+ years experience working with Databricks.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Gradute