Data Engineer

We are looking for an experienced Data Engineer with 8+ years of experience in designing, developing, and maintaining scalable data solutions.

Responsibilities

• Design and develop data pipelines to process large volumes of data efficiently.
• Implement ETL/ELT processes to transform raw data into usable formats.
• Work closely with data scientists and analysts to understand their data requirements.
• Optimize data storage and retrieval processes for performance and scalability.
• Collaborate with cross-functional teams to integrate data solutions into business applications.
• Monitor data pipelines and troubleshoot issues to ensure data quality and reliability.
• Stay updated on emerging trends and technologies in the data engineering field.

Requirements

Required Skills

• 8+ years of experience in Data Engineering.
• Strong experience with Python and SQL.
• Hands-on experience with ETL/ELT pipelines and data integration.
• Experience with Apache Spark, PySpark, and Hadoop.
• Strong knowledge of data warehousing and data modeling.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with databases such as Snowflake, Redshift, BigQuery, or Databricks.
• Knowledge of Airflow or other workflow orchestration tools.
• Experience with Git and CI/CD.
• Strong problem-solving and communication skills.