Hadoop Developer | Addison, TX
Published on CazVidat Anu Singh
Apply for a full-time, onsite Hadoop Developer job in Addison, TX with Anu Singh. Build data pipelines using Python, SQL, Spark, and Hadoop technologies.
Salary
Not provided
Location
Addison, Texas, United States
Employment type
Full time
Workplace
Not provided
Hadoop Developer | Addison, TX
Addison, Texas, United States
Job description
Anu Singh is seeking a Hadoop Developer for a full-time, onsite position in Addison, Texas. This role is suited to an experienced data engineering professional who can build, improve, and support data processing systems that enable informed business decisions. Relocation assistance is available.
Job details
- Job title: Hadoop Developer
- Location: Addison, Texas (onsite)
- Employment: Full-time
- Experience: 5–8 years
- Work authorization: U.S. citizens, Green Card holders, and Green Card EAD holders only
- Interview process: Video interviews
Responsibilities
- Design, develop, and optimize data processing systems and distributed data workflows.
- Build and maintain ETL/ELT pipelines, data ingestion processes, and distributed processing jobs.
- Use Python and SQL to perform advanced data transformations.
- Work with distributed data technologies such as Apache Spark, Databricks, and Hadoop ecosystem tools.
- Build and manage datasets in relational and cloud data platforms, including Teradata, Snowflake, SQL Server, and Azure, AWS, or GCP.
- Apply data modeling, metadata management, data quality, lineage, and secure data management practices.
- Contribute to automated test suites, investigate test failures, and support test-driven development.
- Use Git, CI/CD pipelines, and automated deployment practices to deliver reliable data solutions.
- Follow enterprise data governance, compliance, and operational risk frameworks.
- Troubleshoot pipeline issues and performance bottlenecks, and support reliable data operations.
Qualifications
- 5–8 years of relevant experience, with 3–5+ years in data engineering, software engineering, or a related technical discipline.
- Strong proficiency in Python and SQL.
- Hands-on experience with ETL/ELT, data ingestion, and distributed data processing.
- Practical experience with Hadoop or related technologies such as Spark and Databricks.
- Familiarity with relational or cloud-based data platforms and enterprise data practices.
- Ability to diagnose data pipeline and performance issues.
Work arrangement
This position is onsite in Addison, Texas. Relocation is supported. The role is full-time and requires an eligible work authorization status as specified above.
Frequently asked questions
Is this position remote or on-site?
This is a full-time onsite role located in Addison, Texas, with relocation assistance available.
What kind of experience do I need to qualify for this Hadoop Developer role?
You need 3 to 5+ years of experience in Data Engineering or Software Engineering, with strong skills in Python, SQL, and hands-on experience with the Hadoop ecosystem and distributed data processing tools.
What are the main responsibilities of this job?
You will design and build ETL/ELT pipelines, develop distributed data processing jobs using Hadoop tools like Apache Spark or Databricks, manage datasets across cloud and relational platforms, and ensure data governance and compliance.
What cloud platforms should I be familiar with for this role?
Experience with cloud platforms such as Azure, AWS, or GCP, as well as relational databases like Teradata, Snowflake, and SQL Server, is required.
What is the interview process like?
The interview process consists of video interviews.