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Posted 28 June, 2026

Information Technology_IND - IND_Developer IND_Developer

ARTech
Pune,Maharashtra Full Time
Reference: 365_625640_25-72188

Job Title: Developer
Experience: 4-6 Years
Work Location: Pune, MH
Skill Required:

  • Digital: Bigdata and Hadoop Ecosystems

  • Digital: PySpark


Job Description:

  • Need to work as a developer in Bigdata, Hadoop or Data Warehousing Tools and Cloud Computing

  • Work on Hadoop, Hive SQL’s, Spark, Bigdata Eco System Tools.

  • Experience in working with teams in a complex organization involving multiple reporting lines.

  • The candidate should have strong functional and technical knowledge to deliver what is required and he/she should be well acquainted with Banking terminologies.

  • The candidate should have strong DevOps and Agile Development Framework knowledge.

  • Create Scala/Spark jobs for data transformation and aggregation

  • Experience with stream-processing systems like Storm, Spark-Streaming, Flink


Essential Skills:

  • Working experience of Hadoop, Hive SQL’s, Spark, Bigdata Eco System Tools.

  • Should be able to tweak queries and work on performance enhancement.

  • The candidate will be responsible for delivering code, setting up environment, connectivity, deploying the code in production after testing.

  • The candidate should have strong functional and technical knowledge to deliver what is required and he/she should be well acquainted with Banking terminologies. Occasionally, the candidate may have to be responsible as a primary contact and/or driver for small to medium size projects.

  • The candidate should have strong DevOps and Agile Development Framework knowledge

  • Preferable to have good technical knowledge on Cloud computing, AWS or Azure Cloud Services.

  • Strong conceptual and creative problem-solving skills, ability to work with considerable ambiguity, ability to learn new and complex concepts quickly.

  • Experience in working with teams in a complex organization involving multiple reporting lines

  • Solid understanding of object-oriented programming and HDFS concepts

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