Data Engineer

Job Title: Data Engineer

Employment Type: Contract (W2)
Experience: 12+ Years
Location: Remote/Hybrid/Onsite (Client Requirement)

Job Summary

We are seeking an experienced Data Engineer with 12+ years of IT experience to design, build, and optimize scalable data pipelines and enterprise data platforms. The ideal candidate should have expertise in ETL/ELT, cloud data services, big data technologies, and data warehousing.

Required Skills

• 12+ years of IT experience with 7+ years in Data Engineering.
• Strong expertise in Python, SQL, PySpark, and Spark.
• Hands-on experience with AWS (S3, Glue, EMR, Redshift, Lambda, Athena) or Azure (ADF, Synapse, Databricks).
• Experience with Snowflake, data warehousing, and data modeling.
• Strong knowledge of ETL/ELT, data integration, and pipeline development.
• Experience with Kafka, Airflow, and CI/CD tools.
• Familiarity with Docker, Kubernetes, and Terraform.
• Strong understanding of data governance, security, and performance optimization.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Build ETL/ELT solutions for enterprise data platforms.
• Optimize data processing, storage, and performance.
• Develop data models and support analytics initiatives.
• Collaborate with architects, analysts, and business stakeholders.
• Ensure data quality, reliability, and security.
• Troubleshoot production issues and support data platform enhancements.

Preferred Qualifications

• Experience with Databricks, Snowflake, Delta Lake, or dbt.
• AWS, Azure, or Google Cloud Platform Data Engineering certifications.
• Experience working in Agile/Scrum environments.