Kyndryl

AWS Data Engineer

Kyndryl

full-time

Posted on:

Location Type: Hybrid

Location: Bangalore • India

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Job Level

SeniorLead

Tech Stack

ApacheAWSCloudDynamoDBJenkinsPySparkPythonSQLTerraform

About the role

  • designing, developing, and maintaining large‑scale data pipelines using Python, PySpark, and SQL
  • building and optimizing data ingestion, transformation, and processing workflows on AWS using services such as Lambda, Glue, EMR, S3, Athena, DynamoDB, Step Functions, MWAA, EventBridge, SNS/SQS, and Kinesis
  • implementing secure, scalable, and reliable cloud solutions aligned with AWS best practices through IAM, CloudWatch, CloudTrail, and Secrets Manager
  • working extensively with modern table formats like Apache Iceberg, Delta Lake, or Apache Hudi
  • developing and tuning advanced SQL queries, including Teradata SQL
  • contributing to scalable, reliable, and cost‑efficient Data Lake and Lakehouse architectures
  • designing event‑driven and serverless data solutions, including real‑time streaming pipelines
  • applying strong data modeling principles such as partitioning strategies, schema evolution handling, and metadata management
  • building and maintaining CI/CD pipelines using GitLab or Jenkins
  • automating infrastructure provisioning with Terraform
  • ensuring code quality through unit testing, code reviews, and adherence to engineering best practices

Requirements

  • 8+ years of strong hands‑on experience in Python, SQL, and PySpark
  • Solid understanding of distributed data processing frameworks and cloud‑native architectures
  • Proven experience working within the AWS data ecosystem
  • Experience delivering solutions in large‑scale, fast‑paced environments with a strong focus on automation and data quality
  • Good working knowledge of Data Warehousing (DWH) concepts
  • Data Lakes / Lakehouse architectures
  • Ability to design and support production‑grade data pipelines end‑to‑end
  • Basic hands‑on experience with Terraform and CI/CD pipelines
  • Familiarity with Delta Lake / Iceberg / Hudi
  • Exposure to real‑time streaming architectures
  • AWS Data Engineer or Advanced‑level AWS certifications (preferred)
Benefits
  • flexible, supportive environment
  • well-being prioritized
  • personalized development goals aligned with your ambitions
  • access to cutting-edge learning opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonPySparkSQLAWSTeradata SQLdata modelingCI/CDinfrastructure automationunit testingcode reviews
Soft Skills
automationdata qualityproblem-solvingcollaborationcommunication
Certifications
AWS Data EngineerAdvanced-level AWS certifications