6 - 10 years
18.0 - 23.0 Lacs P.A.
Bengaluru
Posted:2 months ago| Platform:
Work from Office
Full Time
Tasks Responsibilities You will help others build code to extract raw data, coach the team on techniques to validate its quality, and apply your deep data knowledge to ensure the correct data is ingested across the pipeline. You ll also provide expertise on techniques to transform raw data into forms compatible with downstream data sources. You will guide the development of data tools used to transform, manage, and access data. You ll also advise the team on writing and validating code to test the storage and availability of data platforms so that they re more resilient. You will oversee the implementation of performance monitoring protocols across data pipelines, coaching the team on building visualizations and aggregations to monitor pipeline health. You ll also coach others on implementing solutions and self healing processes that minimize points of failure across multiple product features. Qualifications Qualification M.S (preferred) or Ph.D. in Computer Science, Data Science, or related quantitative fields. Proven experience in applying advanced software engineering skills in Data platforms (Data/ML) Hands on Experience in CI/CD using tools Terraform/CloudFormation, Git, Containers Docker/Kubernetes, ECS/EKS, Helm Charts, Azure DevOps Strong knowledge and Hands on Experience with Data Lakes in building Data Pipelines using Python, PySpark, Glue ETL Working knowledge on Cloud Platforms Infrastructure (AWS/Azure) Programming and Scripting knowledge using Python/Shell/YAML (Must needed), SQL/NoSQL, CLI/SDK/CDK Knowledge in cloud platform Azure Databricks, Data Factory, Devops Knowledge on Microservices using Serverless (Lambda, Step Functions, SQS..) with Observability tools (Prometheus/Grafana) Benefits Discounts for Employees Possible Health Benefits Mobile Phone for Employees Possible Meal Discounts Company Retirement Hybrid Work Possible Mobility Offers Events for Employees Coaching Flextime Possible
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