Job Description
Job Title : Data Engineer (Databricks, Spark, Python) Employment Type : W2 Only Work Model: Hybrid - 3 Days Onsite / Week Locations: Irving, TX Tampa, FL Jersey City, NJ Wilmington Delaware Job Description We are looking for an experienced Data Engineer with strong hands-on expertise in Databricks, Apache Spark, and Python to support enterprise-scale data engineering initiatives for Infosys/Citi. The ideal candidate should have solid experience building scalable data pipelines, working with large datasets, and supporting cloud-based data platforms. Required Skills 6 to 8 years of overall IT experience in Data Engineering Strong hands-on experience with Databricks Expertise in PySpark Strong programming skills in Python Experience building ETL/ELT pipelines and data transformation workflows Good knowledge of SQL and relational databases Experience working with large-scale structured and unstructured data Exposure to cloud platforms such as AWS Strong problem-solving and debugging skills Excellent communication and stakeholder management skills Preferred Skills Experience in Banking/Financial domain preferred Knowledge of CI/CD pipelines and version control tools like Git Familiarity with Delta Lake, data warehousing, and orchestration tools Responsibilities Design, develop, and optimize scalable data pipelines Build and maintain Databricks-based data solutions Develop Spark/PySpark jobs for large-scale data processing Collaborate with cross-functional teams including business analysts, architects, and data scientists Ensure data quality, performance optimization, and production support Note: W2 candidates only Must be comfortable with 3 days onsite hybrid model Local candidates or candidates willing to relocate preferred