Sr Technical Lead-Data Engg

Birlasoft

Hyderabad

Sur place

INR 1 500 000 - 2 700 000

Plein temps

Il y a 39 heures
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Résumé du poste

Birlasoft in Hyderabad is seeking a Senior Data Engineer to design and deploy data pipelines using AWS Glue, AWS S3, AWS Lambda and PySpark. You will work with data modelling, governance and visualization teams to deliver scalable analytics solutions.

The role requires strong Python expertise and hands-on experience with distributed data processing. You will participate in agile delivery, maintain data quality, and help the tribe Get Future Ready by applying best practices.

Qualifications

  • Skills with M/O flag are part of Specialization.

Connaissances

Think Holistically
Programming/Software Development
Requirements Definition And Management
Systems Integration And Build
Win the Customer
Database Design
Data Visualisation
Data Modelling And Design
Data Management
Data Governance
Data Engineering
Test Execution
One Birlasoft
Results Matter
Get Future Ready
Help the tribe
AWS GLUE
AWS S3
AWS LAMBDA
Python
PYSPARK
AWS S3
AWS EMR
AWS EC2
AWS Athena
AWS Lakeformation
AWS Datapipeline

Description du poste

  • Area(s) of responsibility
  • Skills with M/O flag are part of Specialization
  • Think Holistically -PL3 (Behavioural)
  • Programming/Software Development -PL3 (Functional)
  • Requirements Definition And Management -PL3 (Functional)
  • Systems Integration And Build -PL3 (Functional)
  • Win the Customer -PL3 (Behavioural)
  • Database Design -PL2 (Functional)
  • Data Visualisation -PL2 (Functional)
  • Data Modelling And Design -PL3 (Functional)
  • Data Management -PL3 (Functional)
  • Data Governance -PL2 (Functional)
  • Data Engineering -PL4 (Functional)
  • Test Execution -PL2 (Functional)
  • One Birlasoft -PL3 (Behavioural)
  • Results Matter -PL3 (Behavioural)
  • Get Future Ready -PL3 (Behavioural)
  • Help the tribe -PL3 (Behavioural)
  • AWS GLUE - PL4 (Mandatory)
  • AWS Athena - PL2 (Optional)
  • AWS Lakeformation - PL2 (Optional)
  • AWS S3 - PL4 (Mandatory)
  • AWS EMR - PL2 (Optional)
  • AWS EC2 - PL2 (Optional)
  • AWS LAMBDA - PL4 (Mandatory)
  • Python - PL5 (Mandatory)
  • PYSPARK - PL4 (Mandatory)
  • AWS Datapipeline - PL2 (Optional)
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