Hadoop Developer
Job ID : 39043
Job Title : Hadoop Developer
Location : Boston, MA
Comapny Name : Atechstar
Job Type : Full-Time, Part-Time, Contract, Training
Industry : Information Technology
Salary : $500000 - $900000 per year
Work Authorization : ["OPT","CPT","Entry Level","F1","H4","L1","H1 Visa","TN Permit Holder","Green Card Holder","Canadian Citizen","All EAD","US Citizen"]
No. of Positions : I have ongoing need to fill this role
Posted on : 03-21-2025
Required Skills : hive spark Hadoop SQL
Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance
Job Description :
Key responsibilities :
- Designing and developing scalable, efficient, and reliable data processing pipelines using Hadoop and related technologies such as MapReduce and Hive.
- Writing and executing MapReduce jobs to process large datasets stored in Hadoop Distributed File System (HDFS).
- Collaborating with stakeholders to understand their data processing requirements and develop solutions that meet their needs.
- Integrating Hadoop with other data storage and processing technologies, such as NoSQL databases and data warehouses.
- Developing and maintaining data processing workflows using Apache Oozie or similar workflow management tools.
- Debugging and optimizing Hadoop applications to improve performance and scalability.
- Ensuring data quality and security through proper data validation, cleansing, and encryption.
- Writing and maintaining technical documentation for Hadoop solutions.
- Staying up-to-date with the latest developments in big data processing and related technologies.
- Performing other tasks as assigned by management.Qualifications:
- Strong programming skills in Java and/or Python.
- Experience with MapReduce programming, Hive and Pig scripting, and Hadoop Distributed File System (HDFS).
- Knowledge of NoSQL databases, such as HBase, Cassandra, and MongoDB.
- Experience with data warehousing, ETL, and data integration technologies.
- Strong analytical and problem-solving skills, with the ability to debug and optimize complex data processing pipelines.
- Good communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Familiarity with Agile software development methodologies.
- Experience with cloud computing platforms, such as Amazon Web Services (AWS) and Microsoft Azure, is an advantage.
Key skills:
- hive
- spark
- Hadoop
- SQL
Company Details :
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