Data Engineer

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

The candidate will collaborate with data analysts, data scientists, and software engineering teams to build reliable data infrastructure, improve data quality, and support business intelligence and analytics initiatives.

• 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 or a related field.

• Strong proficiency in Python and SQL.

• Experience building ETL/ELT pipelines and data integration workflows.

• Knowledge of relational and NoSQL databases.

• Experience with data warehousing solutions such as Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse Analytics.

• Familiarity with Apache Spark, PySpark, or Databricks.

• Experience with cloud platforms such as AWS, Azure, or GCP.

• Understanding of data modeling, database design, and data quality management.

• Familiarity with Git, version control, and CI/CD practices.

• Strong analytical, troubleshooting, communication, and problem-solving skills.