Big Data Developer

Role & responsibilities

Job Title: Developer
Skills Required: Digital: BigData and Hadoop Ecosystems, Digital: PySparkExperience Range in Required Skills: 4 to 6 YearsJob Description: Big Data (PySpark, HIVE)1. Need to work as a developer in Bigdata, Hadoop or Data Warehousing Tools and Cloud Computing.2. Work on Hadoop, Hive SQLs, Spark, and Bigdata Eco System Tools.3. Experience in working with teams in a complex organization involving multiple reporting lines.?4. The candidate should have strong functional and technical knowledge to deliver what is required and he/she should be well acquainted with Banking terminologies.5. The candidate should have strong DevOps and Agile Development Framework knowledge.6. Create Scala/Spark jobs for data transformation and aggregation.7. Experience with stream-processing systems like Storm, Spark-Streaming, Flink.Essential Skills:1. Working experience of Hadoop, Hive SQLs, Spark, Bigdata Eco System Tools.2. Should be able to tweak queries and work on performance enhancement.3. The candidate will be responsible for delivering code, setting up environment, connectivity, deploying the code in production after testing.4. The candidate should have strong functional and technical knowledge to deliver what is required and he/she should be well acquainted with Banking terminologies.5. Occasionally, the candidate may have to be responsible as a primary contact and/or driver for small to medium size projects.6. The candidate should have strong DevOps and Agile Development Framework knowledge.7. Preferable to have good technical knowledge on Cloud computing, AWS or Azure Cloud Services.8. Strong conceptual and creative problem-solving skills, ability to work with considerable ambiguity, ability to learn new and complex concepts quickly.9. Experience of working with teams in a complex organization involving multiple reporting lines.10. Solid understanding of object-oriented programming and HDFS concepts.

Preferred candidate profile