Data Scientist/Power BI/Data Engineering

CompSciPrep

3+ years of proven experience in data engineering for operational & managerial reporting/ analytics

· 3+ years of advance & relevant experience in data engineering techniques (data querying, transformation, ingestion, cataloging, modelling & storage, etc.)

· experience querying databases and using computer languages (python, pyspark, lambda function, scala, sql, etc.) to manipulate data and draw insights from large data sets

· experience working with various source systems like sap/ bw/ iot/ flat files/ apis integration using theobald, aws kinesis, aws flat file gateway, aws glue

· experience working with multiple data ingestion patterns, (. etl, streaming, change data capture (cdc), micro-batches, and self-service data preparation)

· familiarity with cloud-native approaches to data warehousing, including raw data storage, scalable data stores, elastic compute, and support for multiple marts. data governance knowledge is plus

· experience working with aws cloud services: aws glue, lake formation, s3, redshift, emr, ec2, athena, is added advantage

· experience visualizing/presenting data for stakeholders using: powerbi, tableau, quicksight

· experience in snowflake and snowsql

note: we need candidates with anyone of the above experience ( with solid hands on professionals)

job location: bangalore

• Experience

  4 - 8 Years

• No. of Openings

  25

• Education

  Any Bachelor Degree

• Role

  Data Scientist

• Industry Type

  Engineering / Cement / Metals

• Gender

  [ Male / Female ]

• Job Country

  India

• Type of Job

  Full Time

• Work Location Type

  Work from Office