Engineer

Job Title: Data Engineer (DB2 / Hive / Spark)Location: Jacksonville, FL or Remote EST time zoneExperience: 5-10 Years (flexible based on profile)Role SummaryWe are looking for a strong Data Engineer with hands-on experience in DB2, Hive, and Spark. The ideal candidate should have deep expertise in SQL (especially stored procedures), data cleanup, and handling large-scale batch data processing.Key ResponsibilitiesDevelop, optimize, and maintain complex SQL queries and stored procedures (DB2 focus)Perform data cleanup, transformation, and validation on large datasetsWork extensively with DB2 (heavy data environments) and HiveDesign and implement batch data processing pipelinesUse Apache Spark for scalable data processing and performance optimizationAnalyze data issues and ensure data quality, consistency, and integrityCollaborate with cross-functional teams for data requirements and deliveryTroubleshoot performance issues and optimize ETL/data workflowsRequired SkillsStrong expertise in SQL and Stored Procedures (DB2 mandatory)Hands-on experience with DB2 (large-scale data handling)Working knowledge of Hive and Hadoop ecosystemExperience With Apache Spark (PySpark/Scala Preferred)Solid understanding of batch processing frameworksExperience in data cleansing, transformation, and validationGood problem-solving and performance tuning skillsNice to HaveExperience with ETL tools (Informatica, DataStage, etc.)Exposure to cloud platforms (AWS/Azure/GCP)Knowledge of data warehousing conceptsRole Descriptions: Data EngEssential Skills: Data EngDesirable Skills:Keyword:Skills: Agile Way of Working:Digital : NoSQL Column DB:Digital : PySparkExperience Required: 8-10