Bigdata and Hadoop Engineer

6 hours ago

Bengaluru Chennai Hyderabad, India Artech Full time ₹ 8,00,000 - ₹ 12,00,000 per year

Job Title: Developer

Experience: 4-6 Years

Work Location: Chennai, TN || Bangalore, KA || Hyderabad, TS

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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