8 Aws Data Jobs

Job Description & Objective: To engage a skilled resource to conduct a comparative analysis of observability and data lineage tools, in order to identify the most suitable solutions aligned with our organizations requirements for monitoring, tracing, and managing data flow and quality. Requirement Details: Role: Power BI & ETL Developer Location: Gurgaon (Onsite) Joining: Immediate Joiners Scope of Work : Research and evaluate leading observability tools (e.g., Prometheus, Grafana, New Relic, Open Telemetry) Evaluate data lineage tools (e.g., Apache Atlas, AWS Data Zone) Define key evaluation criteria (integration, scalability, cost, features, compliance, support) Hands-on testing and proof ...

Job details: Title AWS Data Engineer Type Hybrid Location Chennai Key Skills AWS Glue, RedShift, S3, Lambda Athena. Hands on experience in Data Engineer with AWS, Glue, Lambda, SQL, Python, Redshift. Must have working knowledge in designing and implementing data pipelines on any of the cloud providers (AWS is preferred). Must be able to work with large volumes of data coming from various sources. Perform data cleansing, data validation etc Hands on ETL developer who is good at python, SQL. AWS services like glue, glue crawlers, lambda, red shift, athena, s3, EC2, IAM, Monitoring and Logging mechanisms- AWS cloudwatch, setting up alerts. Deployment knowledge on cloud. Integrate CI/CD pipeline...

Location : Pune ,Mumbi, Gurugram , Bangalore , Hyderabad. Experience : 6 Years to 10Years Job Description: We are seeking skilled and dynamic Cloud Data Engineers specializing in AWS, Azure, Databricks. The ideal candidate will have a strong background in data engineering, with a focus on data ingestion, transformation, and warehousing. They should also possess excellent knowledge of PySpark or Spark, and a proven ability to optimize performance in Spark job executions. Key Responsibilities: - Design, build, and maintain scalable data pipelines for a variety of cloud platforms including AWS, Azure, Databricks. - Implement data ingestion and transformation processes to facilitate efficient da...

Lead design, development, and deployment of cloud-native and hybrid solutions on AWS and GCP. Ensure robust infrastructure using services like GKE, GCE, Cloud Functions, Cloud Run (GCP) and EC2, Lambda, ECS, S3, etc. (AWS).

-Design, build & deployment of cloud-native and hybrid solutions on AWS and GCP -Exp in Glue, Athena, PySpark & Step function, Lambda, SQL, ETL, DWH, Python, EC2, EBS/EFS, CloudFront, Cloud Functions, Cloud Run (GCP), GKE, GCE, EC2, ECS, S3, etc

Location : Pune ,Mumbi, Gurugram , Bangalore , Hyderabad. Experience : 3.5years to 8 Years Job Description: We are seeking skilled and dynamic Cloud Data Engineers specializing in AWS, Azure, Databricks. The ideal candidate will have a strong background in data engineering, with a focus on data ingestion, transformation, and warehousing. They should also possess excellent knowledge of PySpark or Spark, and a proven ability to optimize performance in Spark job executions. Key Responsibilities: - Design, build, and maintain scalable data pipelines for a variety of cloud platforms including AWS, Azure, Databricks. - Implement data ingestion and transformation processes to facilitate efficient d...

We are organizing a direct walk-in drive at Pune location. Please find below details and skills for which we have a walk-in at TCS - Pune on 21st June 2025 Experience: 5- 10 years Skill Name :- (1) Dot Net (2) AWS data, Pyspark, Redshift (3) AWS Node JS (4) Azure Devops with Terraform (5) Java Springboot Microservice (6) Mainframe, CICS, COBOL, DB2

Skills Required: AWS Data Engineer- DATA-SERVICES-AWS Skills : Aws Glue; Aws Lambda; AWS RDS; AWS S3; Dynamo Db; PySpark Location : Bangalore Experience : 5+ Years only If interested, please share your updated resume with below details on meeta.padaya@ltimindtree.com Total Experience - Relevant Experience in AWS Data - AWS PAAS Services- PySpark- Available for F2F interview on 26th Apr, Saturday (Yes/No): Company - CCTC- ECTC- NP (If serving, kindly mention LWD) - Current / Preferred Location -