Hadoop Developer Job in Addison, TX – Full-Time

Join Anu Singh as a Hadoop Developer in Addison, Texas. This full-time onsite role offers an exciting opportunity to design, develop, and optimize large-scale data processing systems that drive business insights and innovation. Position Details Location: Addison, TX (Onsite, relocation assistance available) Employment Type: Full-time Eligibility: USC, GC, GC EAD only Interview Process: Video interviews Key Responsibilities Design and build robust ETL/ELT pipelines and data ingestion workflows. Develop distributed data processing jobs using Hadoop ecosystem tools, Apache Spark, or Databricks. Utilize Python and SQL for advanced data transformations and analytics. Manage datasets across relational and cloud platforms such as Teradata, Snowflake, SQL Server, Azure, AWS, or GCP. Implement data modeling, metadata management, data quality controls, and secure data governance. Contribute to automated testing, troubleshoot pipeline issues, and support test-driven development. Work with CI/CD pipelines, version control (Git), and automated deployment strategies. Ensure compliance with enterprise data governance and operational risk frameworks. Qualifications 3 to 5+ years of experience in Data Engineering or Software Engineering roles. Strong proficiency in Python and SQL. Hands-on experience with Hadoop ecosystem and distributed data processing tools. Experience with cloud-based data platforms and relational databases. Knowledge of data governance, compliance, and security best practices. Excellent problem-solving and communication skills. Apply now to become a vital part of a forward-thinking team focused on delivering impactful data solutions in a fast-paced environment.