Hadoop Data Engineer
ace stackAddison (TX)
About the role
Hadoop Data Engineer
Location: Addison, TXFTE only
Job Description:
- Must Have Technical/Functional Skills
- Primary Skill: Hadoop (HDFS, Hive, Spark), Big Data ETL/ELT, Distributed Processing, MS SQL Server
- Secondary: Artificial Intelligence/ Machine learning
Experience: Minimum 10 years
Roles & Responsibilities:
Design 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 & Qualifications:
Strong 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.
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