Hadoop Data EngineerLocation: Addison, TXFTE onlyJob DescriptionMust Have Technical/Functional SkillsPrimary Skill: Hadoop (HDFS, Hive, Spark), Big Data ETL/ELT, Distributed Processing, MS SQL ServerSecondary: Artificial Intelligence/ Machine learningExperience: Minimum 10 yearsRoles & ResponsibilitiesDesign and implement scalable batch and/or streaming data pipelines using Hadoop ecosystem tools.Develop and optimize data ingestion processes from multiple sources (RDBMS, files, APIs, logs).Build and maintain datasets in HDFS/Hive and ensure data quality, lineage, and governance.Perform performance tuning for distributed workloads (partitioning, file formats, resource management).Create and optimize complex queries, stored procedures, and ETL workflows in MS SQL Server.Collaborate with data scientists/analysts to deliver feature-ready datasets for ML models.Implement monitoring and alerting for pipeline health and data SLAs.Document architecture, workflows, data dictionaries, and operational runbooks.Support production deployments, incident triage, and root cause analysis.Required Skills & QualificationsStrong hands-on experience with Hadoop components (e.g., HDFS, Hive, YARN, MapReduce/Spark).Experience with data modeling and data warehousing concepts.Solid proficiency in MS SQL Server (T-SQL, query optimization, indexing, stored procedures).Experience with ETL/ELT design patterns and job scheduling (e.g., Oozie/Airflow/Control-M).Strong understanding of distributed computing concepts and performance tuning.Familiarity with Python/Scala/Java for data processing (any one preferred).Bachelor’s degree in Computer Science, Engineering, or equivalent experience.