| Spark Scala - Austin Day 1 onsite Hybrid: 62 per HR at Austin, Texas, USA |
| Email: [email protected] |
| From: Jay, Brillius [email protected] Reply to: [email protected] Spark/Scala Data Engineer: - (Day 1 Onsite) Activities: Ability to work independently work on end-to-end development track with engineering mindset and product ownership attitude Requirement analysis and coding in accordance with coding standards Requirement and design playback with business Design pipeline end to end to meet customer requirement Coding in Scala using existing frameworks to meet business requirements Work in agile methodology involving daily standups, frequent sync up with peers. Delivering high quality code along with reviewing and mentoring peers code. Skills: - Must Have: - SCALA, SPARK, SQL, HADOOP, AWS, HIVE, Spark SQL, HIVE QL, CICD (Continuous Integration/Continuous Delivery), VCS (GIT HUB) Coding in Scala (60% of time) Designing in of HADOOP ecosystem (20% of time) Hands-on experience on AWS tools like EMR, EC2 (10% of time) Hands-on experience of SQL in Big Data: SQL, Spark SQL, Hive QL (60% of time) Proficient in working with large data sets and pipelines (20% of time) Proficient with workflow scheduling / orchestration tools (20% of time) Well versed with CICD process and VCS (20% of time) In Scala, below hands-on experience is essential o Functional Programming and Object-Oriented Programming o Currying and Partially Applied Functions o Higher Order Functions o Tail Recursion o Futures o Case class o Pureconfig o Implicit Functions o Practical knowledge of all containers like list, map, array etc. o Implementation of foreach loop etc. for sorting instead of using direct functions Keywords: |
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| Sun Dec 04 23:16:00 UTC 2022 |