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Pyspark Developer
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- Posted 12 days ago
- Be among the first 10 applicants
Job Description
- Primary skills: Pyspark , Spark , Hadoop , SQL
- At least 6+ years of experience in designing and developing large scale, distributed data processing pipelines using PySpark, Hadoop and related technologies.
- Having expertise in Pyspark, Spark Core, Spark SQL, Batch processing and Spark Streaming
- Experience with Hadoop, HDFS, Hive and other BigData technologies.
- Familiarity with Data warehousing and ETL concepts and techniques
- UNIX shell scripting will be an added advantage in scheduling/running application jobs.
- At least 5 years of experience in Project development life cycle activities and development/maintenance projects
- Work with business stakeholders and other SMEs to understand high level business requirements.
- Work with the Solution Designers and contribute to the development of project plans by participating in the scoping and estimating of proposed project.
- Apply technical background understanding, business knowledge, system knowledge in the elicitation of Systems Requirements for projects.
- Possess good knowledge on Spark architecture and transformations using Spark and PySpark.
- Work in an Agile environment and participation in scrum daily standups, sprint planning reviews and retrospectives.
- Understand project requirements and translate them into technical solutions which meets the project quality standards
- Ability to work in team in diverse/multiple stakeholder environment and collaborate with upstream/downstream functional teams to identify, troubleshoot and resolve data issues.
- Strong problem solving and Good Analytical skills.
- Excellent verbal and written communication skills.
- Experience and desire to work in a Global delivery environment.
- Stay up to date with new technologies and industry trends in Development.
More Info
Key Skills
About Company
Skills:
data wrangling , slicing , data pipeline, Concurrency, Core Python, Pyspark, Apis, Debugging, Oop, Numpy, Git, Pandas, Restful Services, Data Loading, Decorators, application unit tests, Lambda Functions, DB connectivity, Gen AI, Vector operations, dataframes, apply map functions, applymap, error handling, aggregations
Skills:
Spark SQL, Pyspark, Banking Domain Knowledge, Sql, Performance Tuning, Logging and monitoring, Dataframes, ETL Estimation, Unix Scheduling Tool, Generic process development, Advanced Data transformations, Error handling, UDFS, Spark Functions, Teradata BTEQ
Skills:
Spark SQL, Spark Core, Hive, Spark Streaming, Hadoop, Pyspark, Data Warehousing, Unix Shell Scripting, Etl, HDFS, Batch Processing