Data Engineer

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure. The ideal candidate will have strong experience with SQL, Python, ETL/ELT, cloud data platforms, data warehouses, and distributed data processing.

The Data Engineer will collaborate with data analysts, data scientists, software engineers, and business teams to ensure reliable, high-quality, and accessible data for analytics and business intelligence.

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, Engineering, or a related field.
• 2–5+ years of experience in data engineering or a related field.
• Strong programming skills in Python, SQL, or Scala.
• Strong knowledge of ETL/ELT processes and data pipelines.
• Experience with relational and NoSQL databases.
• Hands-on experience with data warehouses such as Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse.
• Experience with Apache Spark, Databricks, or similar distributed processing technologies.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of data modeling, data quality, and data governance.
• Experience with workflow orchestration tools such as Apache Airflow.
• Familiarity with Git and CI/CD practices.
• Strong analytical and problem-solving skills.