Posted On 29 August

  • Data Engineer (AWS Developer)

    • Company HCL Technologies
    • No. of Openings 5
    • Salary Not Disclosed
    • Work Type on-site

    Job Description :

    Job purpose

    Data Engineer (Software Developer) is responsible for Technical Design, Development and Integration Testing of Data Engineering Components using AWS Data Engineering stack as well as involving Python.

    Experience, Duties and responsibilities

    • Overall 6+ years of software development experience as a Data Engineer/ETL with more than 4+ yrs specifically on AWS Cloud Data Engineering stack
    • Experience in Big Data Technologies Pyspark (with or without AWS Glue)
    • Experience of ETL/Datawarehousing/Data integration/Data lake.
    • Experience of MPP (Massive Parallel Processing) databases –Redshift(preferred), Snowflake, Teradata
    • Challenges involved in Big Data – large table sizes (e.g. depth/width), even distribution of data
    • Strong SQL and data manipulation/transformation sklills
    • Strong hands on programming experience with pySpark / Python / Boto3 including Python Frameworks, libraries according to python best practices.
    • Should have good knowledge on building and deploying python applications, especially on AWS
    • Data engineering end to end experience – e.g. Data ingestion, cleansing, harmonization/integration, quality, security, etc
    • Experience of working in a cloud environment (AWS preferred)
    • Development/Delivery methodologies – Agile (Preferred), SDLC
    • Experience working in a geographically disparate team.
    • Development experience in AWS services mainly on Redshift, Glue, Data lake on S3, Cloudwatch, Lambda, Step function - Understanding of Code versioning, Git repository, CICD.
    • Effectively communicate orally and in writing to a technical and non-technical audience.
    • Should be an avid learner, initiative-taker, and team player
    • Strong interpersonal communication skills and customer interaction skills
    • Excellent oral and written communication, presentation, and analytical skills
    • Skills: AWS, Glue, Data lake on S3, Cloundwatch, Python, Lamda, Data Engineering, Redshift, Step function, CICD, Git Repository, Agile Projects Experience

    Information

    • HR Name :Human Resource
    • HR Email :prasanth_v@hcl.com
    • HR Phone :0120 430 6000
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