Data Engineer

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

The candidate will work with data analysts, data scientists, software engineers, and business teams to build reliable data infrastructure, transform raw data into usable datasets, 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, data integration, or a related field.

• Strong programming skills in Python, SQL, or Scala.

• Hands-on experience with ETL/ELT development and data pipeline design.

• Strong knowledge of relational databases, data modeling, and query optimization.

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

• Familiarity with Apache Spark, PySpark, or other distributed data processing frameworks.

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

• Understanding of data lakes, lakehouses, and large-scale data processing.

• Familiarity with workflow orchestration tools such as Apache Airflow.

• Knowledge of data quality, data validation, and error-handling practices.

• Experience with Git and version control systems.

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