Data Engineer

Job Title: Data Engineer Job Type: Contract (W2) Location: Remote Experience: 5+ Years Required Skills 5+ years of experience as a Data Engineer. Strong proficiency in Python and SQL . Experience with ETL/ELT development and data integration. Hands-on experience with Apache Spark , PySpark , and Kafka . Experience with cloud platforms such as AWS , Azure , or Google Cloud Platform (GCP) . Knowledge of data warehousing concepts ( Snowflake, Redshift, BigQuery, Synapse ). Experience with workflow orchestration tools like Apache Airflow . Familiarity with relational and NoSQL databases ( PostgreSQL, MySQL, MongoDB, DynamoDB ). Understanding of data modeling, data governance, and data quality best practices. Experience with version control tools such as Git . Strong analytical, troubleshooting, and problem-solving skills. Preferred Skills Experience with Databricks . Knowledge of CI/CD pipelines for data engineering. Exposure to containerization technologies like Docker and Kubernetes . Experience working in Agile/Scrum environments. Roles & Responsibilities Design, build, and maintain scalable data pipelines and ETL workflows. Develop and optimize data ingestion processes from multiple data sources. Build and maintain data lakes and data warehouses. Optimize SQL queries and improve data processing performance. Collaborate with Data Scientists, Analysts, and Software Engineers to deliver high-quality data solutions. Implement data validation, monitoring, and quality checks. Troubleshoot production issues and ensure high availability of data pipelines. Ensure data security, compliance, and governance standards are followed. Automate repetitive data engineering tasks and deployment processes. Document data architecture, workflows, and technical specifications. Nice to Have Experience with dbt . Knowledge of Terraform or Infrastructure as Code (IaC). Experience with streaming technologies and real-time data processing. Exposure to machine learning data pipelines.