Senior Data Engineer

Year    KA, IN, India

Job Description

Required Skills:

7-10 years in Analytics & Data Warehousing design, architecture, or development

Hands-on big data platform experience with Spark/Scala

5+ years building ETL pipelines using Spark/Scala, UNIX Shell Script, Oracle SQL/PL-SQL

Big data ETL development on AWS cloud

Proficient in AWS services: EC2, S3, Lambda, Athena, Kinesis, Redshift, Glue, EMR, DynamoDB, IAM, Secrets Manager, Step Functions, SQS, SNS, CloudWatch

Strong Python-based framework development

Experience with Oracle SQL, SQL tuning, relational model analysis

Experience in Abinitio, IBM Datastage (GDE, Express-IT, Control Centre) is a plus

Expertise in Oracle, Teradata, Enterprise Analytics/BI/DW/ETL: Teradata Control Framework, Tableau, OBIEE, SAS, Spark, Hive

Broad Analytics & BI architecture knowledge

Experience with Data Delivery Life Cycle & Agile methodology

Handling large datasets in enterprise environments with high SLAs

UNIX scripting, Oracle SQL/PL-SQL, Autosys JIL scripting

Strong analytical, problem-solving, and communication skills

Creative, proactive, autonomous, and solution-oriented

Risk mindset and adherence to Code of Conduct

Job Type: Full-time

Pay: ₹1,500,000.00 - ₹3,100,000.00 per year

Work Location: Hybrid remote in Bengaluru, Karnataka

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Job Detail

  • Job Id
    JD5008965
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    KA, IN, India
  • Education
    Not mentioned
  • Experience
    Year