Data Engineer

Key Responsibilities

• Design, develop, and maintain robust ETL/ELT data pipelines

• Build and optimize data warehouses and data lakes

• Ensure data quality, integrity, security, and performance

• Integrate data from multiple sources (APIs, databases, files, streaming systems)

• Collaborate with analytics and data science teams to support reporting and modeling needs

• Monitor, troubleshoot, and optimize data workflows

• Implement best practices for data governance and documentation

• Support cloud-based data solutions and infrastructure

• Bachelor s degree in Computer Science, Engineering, or related field

• Strong experience with SQL and relational databases

• Hands-on experience with Python / Java / Scala

• Experience with
  ETL tools and data pipeline frameworks

• Knowledge of data warehousing concepts (star/snowflake schemas)

• Experience with
  cloud platforms (AWS, Azure, or Google Cloud Platform)

• Familiarity with Big Data technologies (Spark, Hadoop, Kafka – preferred)

• Understanding of version control (Git) and CI/CD practices

• Experience with tools like Airflow, dbt, Snowflake, Redshift, Big Query

• Knowledge of data security and compliance standards

• Experience in Agile/Scrum environments