Data Engineer (Databricks, Spark, Python)

Dice is the leading career destination for tech experts at every stage of their careers. Our client, 4i Americas, is seeking the following. Apply via Dice today!Job Title: Data Engineer (Databricks, Spark, Python)Employment Type: W2 OnlyWork Model: Hybrid - 3 Days Onsite / WeekLocations:Irving, TXTampa, FLJersey City, NJWilmington DelawareJob DescriptionWe 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 Skills6 to 8 years of overall IT experience in Data EngineeringStrong hands-on experience with DatabricksExpertise in PySpark Strong programming skills in PythonExperience building ETL/ELT pipelines and data transformation workflowsGood knowledge of SQL and relational databasesExperience working with large-scale structured and unstructured dataExposure to cloud platforms such as AWS Strong problem-solving and debugging skillsExcellent communication and stakeholder management skillsPreferred SkillsExperience in Banking/Financial domain preferredKnowledge of CI/CD pipelines and version control tools like GitFamiliarity with Delta Lake, data warehousing, and orchestration toolsResponsibilitiesDesign, develop, and optimize scalable data pipelinesBuild and maintain Databricks-based data solutionsDevelop Spark/PySpark jobs for large-scale data processingCollaborate with cross-functional teams including business analysts, architects, and data scientistsEnsure data quality, performance optimization, and production supportNote:W2 candidates onlyMust be comfortable with 3 days onsite hybrid modelLocal candidates or candidates willing to relocate preferred