Sr Data Engineer

We are seeking an experienced Senior Data Engineer to design, develop, implement, and maintain scalable data pipelines and enterprise data platforms. The ideal candidate should have strong expertise in Python, SQL, Spark, cloud platforms, ETL/ELT processes, and data warehousing technologies. The candidate will lead data engineering initiatives, optimize data workflows, ensure data quality, and collaborate with analytics, software engineering, and business teams to deliver reliable data solutions.

• Master’s degree in computer science, Data Engineering, Information Technology, or a related field.

• 5–10+ years of experience in data engineering or a related technical role.

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

• Extensive experience designing and developing ETL/ELT pipelines.

• Strong knowledge of Apache Spark, PySpark, and distributed data processing.

• Experience with data modeling, data warehousing, and database optimization.

• Hands-on experience with Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse.

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

• Experience with workflow orchestration tools such as Apache Airflow.

• Knowledge of Databricks, Kafka, and real-time data processing.

• Experience implementing data quality, governance, security, and validation processes.

• Familiarity with Docker, Kubernetes, Git, and CI/CD pipelines.

• Ability to design data architecture, optimize performance, and troubleshoot complex data issues.

• Experience mentoring junior engineers and collaborating with cross-functional teams.

• Strong technical leadership, communication, and problem-solving skills.