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