Senior Data Engineer

Experience: 10+ Years
Type: Contract W2

Job Description

We are looking for a highly experienced Senior Data Engineer with 10+ years of experience in designing and developing scalable data solutions and enterprise data platforms.

Required Skills

• 10+ years of experience in Data Engineering / ETL
• Strong hands-on experience with Python, SQL, and PySpark
• Strong experience with Databricks, Apache Spark, and Delta Lake
• Expertise in AWS, Azure, or Google Cloud Platform cloud platforms
• Experience with Snowflake, Redshift, BigQuery, Synapse, Teradata, or similar data warehouses
• Strong knowledge of ETL/ELT, data pipelines, data modeling, and data warehousing
• Experience with Apache Airflow, Azure Data Factory, AWS Glue, or similar orchestration tools
• Experience with Kafka / Spark Streaming is preferred
• Knowledge of CI/CD, Git, Jenkins/Azure DevOps, Docker, and Terraform is a plus
• Experience with CDC, SCD, partitioning, performance tuning, and data quality
• Strong understanding of Data Lake, Data Warehouse, and Lakehouse architecture
• Ability to lead technical discussions, perform design reviews, and mentor junior engineers

Responsibilities

• Design and develop scalable batch and real-time data pipelines.
• Build and optimize cloud-based data platforms and ETL/ELT solutions.
• Develop complex data transformations using Python, SQL, and PySpark.
• Perform data quality checks, troubleshooting, and performance optimization.
• Collaborate with architects, data scientists, analysts, and business teams.
• Support production deployments and resolve complex data pipeline issues.

Education: Bachelor's degree in Computer Science, IT, Engineering, or related field preferred.