Data Engineer

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and architectures.
• Collect, process, and transform data from multiple sources into structured, usable formats.
• Ensure data quality, reliability, and security across all systems.
• Work with data analysts and data scientists to optimize data models for analytics and machine learning.
• Implement ETL (Extract, Transform, Load) processes and automate workflows.
• Monitor and troubleshoot data infrastructure, ensuring minimal downtime and high performance.
• Collaborate with cross-functional teams to define data requirements and integrate new data sources.
• Maintain comprehensive documentation for data systems and processes.

• Proven experience as a Data Engineer, ETL Developer, or similar role.
• Strong programming skills in Python, SQL, or Scala.
• Experience with data pipeline tools (Airflow, dbt, Luigi, etc.).
• Familiarity with big data technologies (Spark, Hadoop, Kafka, etc.).
• Hands‑on experience with cloud data platforms (AWS, GCP, Azure, Snowflake, or Databricks).
• Understanding of data modeling, warehousing, and schema design.
• Solid knowledge of database systems (Postgre
  
  SQL, MySQL, No
  
  SQL).
• Strong analytical and problem‑solving skills.

• Mid‑Senior level

• Contract

• Information Technology

• Software Development