Description

You will design, build, and maintain data infrastructure and pipelines.

Responsibilities

• Develop and optimize batch and streaming data pipelines.
• Build and manage data lakes, data warehouses, and analytics platforms.
• Design ETL/ELT workflows and automate data ingestion from diverse sources.
• Ensure data quality, validation, governance, and lineage across systems.
• Optimize data storage, query performance, and processing efficiency.

Required Skills

• 5+ years of professional experience in Data Engineering.
• Strong proficiency in SQL, Python, and Java.
• Experience with Big Data tools, including Spark and Hadoop.
• Knowledge of ETL/ELT frameworks like Airflow or dbt.
• Familiarity with data warehousing solutions such as Snowflake or BigQuery.
• Experience managing infrastructure on AWS, Google Cloud Platform, or Windows Azure.
• Understanding of data modeling, normalization, and data governance principles.
• Proficiency with version control (Git) and CI/CD practices.

Key Skills

Education

Bachelor's degree