Consultant ,PySpark/HadoopDeveloper

1 week ago


Bengaluru, Karnataka, India Genpact Full time
Genpact (

NYSE:
G) is a global professional services and solutions firm delivering outcomes that shape the future.

Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients.

Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.Inviting applications for the role of Consultant ,PySpark/HadoopDeveloperIn this role, you will be responsible for coding, testing, and delivering high quality deliverables, and should be willing to learn new technologies.

Responsibilities

  • As an ETL / Hadoop developer, the candidate is expected to Design and development of ETL and Hadoop applications.
  • Undertaking end-to-end project delivery (from inception to post-implementation support), including review and finalization of business requirements, creation of functional specifications and/or system designs, and ensuring that end-solution meets business needs and expectations.
  • Development of new transformation processes to load data from source to target, or performance tuning of existing ETL code (mappings, sessions) and Hadoop Platform.
  • Analysis of existing designs and interfaces and applying design modifications or enhancements
  • Coding and documenting data processing scripts and stored procedures.
  • Providing business insights and analysis findings for ad-hoc data requests
  • Testing software components and complete solutions (including debugging and troubleshooting) and preparing migration documentation.
  • Providing reporting-line transparency through periodic updates on project or task statusQualifications we seek in youMinimum Qualifications
  • BE/B Tech/MCA
  • Excellent written and verbal communication skillsPreferred Qualifications/ Skills
  • Experience with the technical analysis and design, development and implementation of data warehousing / Data Lake solutions;
  • Well versed and Hand-on in Python, Spark,pyspark, Hdfs, hive, Hadoop. Spark SQL optimization.
  • Good understanding/experience in Hive/Impala/Spark
  • Strong SQL programming and stored procedure development skills
  • Hadoop experience and knowledge of SQL
  • Relational database experience (experience with Teradata is a big plus)
  • UNIX Shell scripting experience to support data warehousing solutions
  • Process oriented, focused on standardization, streamlining, and implementation of best practices delivery approach
  • Excellent problem solving and analytical skills
  • Excellent verbal and written communication skills
  • Experience in optimizing large data loads
  • Experience in OLAP/Relational databases would be good.
  • Exposure to an Agile Development environment would be a plus.
  • Knowledge about TWS Scheduler would an added advantage
  • Strong understanding of Data warehousing domain
  • Ability to architect an ETL solution and data conversion strategy
  • Good understanding of dimensional modelling


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