Data Engineer

We are seeking a skilled Data Engineer to design, develop, and maintain scalable data pipelines and data infrastructure. The ideal candidate should have strong experience with Python, SQL, ETL/ELT processes, data warehousing, big data technologies, and cloud platforms.

The candidate will collaborate with data analysts, data scientists, software developers, and business stakeholders to build reliable data solutions that support analytics, reporting, and business intelligence.

• Master's degree in Computer Science, Information Technology, Data Engineering, or a related field, or equivalent practical experience.
• 2–5+ years of experience in data engineering, ETL development, or a related role.
• Strong proficiency in Python and SQL.
• Hands-on experience with ETL/ELT development and data integration.
• Knowledge of relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
• Experience with data modeling, data warehousing, and database optimization.
• Familiarity with Apache Spark, PySpark, Hadoop, or Databricks.
• Experience with AWS, Microsoft Azure, or Google Cloud Platform.
• Knowledge of cloud data warehouses such as Snowflake, Amazon Redshift, BigQuery, or Azure Synapse Analytics.
• Familiarity with data orchestration and scheduling tools.
• Understanding of batch processing, streaming, and distributed computing.
• Experience with Git, testing, debugging, and CI/CD practices.
• Strong analytical, problem-solving, communication, and teamwork skills.