6.0 - 10.0 years

17 - 30 Lacs

Noida, Pune, Bengaluru

Hybrid

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 data warehousing. - Utilize cloud services to enhance data processing capabilities: - AWS: Glue, Athena, Lambda, Redshift, Step Functions, DynamoDB, SNS. - Azure: Data Factory, Synapse Analytics, Functions, Cosmos DB, Event Grid, Logic Apps, Service Bus. - Optimize Spark job performance to ensure high efficiency and reliability. - Stay proactive in learning and implementing new technologies to improve data processing frameworks. - Collaborate with cross-functional teams to deliver robust data solutions. - Work on Spark Streaming for real-time data processing as necessary. Qualifications: - 3-8 years of experience in data engineering with a strong focus on cloud environments. - Proficiency in PySpark or Spark is mandatory. - Proven experience with data ingestion, transformation, and data warehousing. - In-depth knowledge and hands-on experience with cloud services(AWS/Azure): - Demonstrated ability in performance optimization of Spark jobs. - Strong problem-solving skills and the ability to work independently as well as in a team. - Cloud Certification (AWS, Azure) is a plus. - Familiarity with Spark Streaming is a bonus.

Posted 4 weeks ago

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Aws Lead + GCP Changeleaders

8.0 - 12.0 years

15 - 30 Lacs

Hyderabad, Chennai, Bengaluru

Work from Office

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).

Posted 1 month ago

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AWS Data Engineer Changeleaders

6.0 - 11.0 years

25 - 40 Lacs

Hyderabad, Pune, Bengaluru

Hybrid

-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

Posted 1 month ago

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Cloud Data Engineer PwC India

3.0 - 8.0 years

12 - 22 Lacs

Pune, Gurugram, Bengaluru

Hybrid

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 data warehousing. - Utilize cloud services to enhance data processing capabilities: - AWS: Glue, Athena, Lambda, Redshift, Step Functions, DynamoDB, SNS. - Azure: Data Factory, Synapse Analytics, Functions, Cosmos DB, Event Grid, Logic Apps, Service Bus. - Optimize Spark job performance to ensure high efficiency and reliability. - Stay proactive in learning and implementing new technologies to improve data processing frameworks. - Collaborate with cross-functional teams to deliver robust data solutions. - Work on Spark Streaming for real-time data processing as necessary. Qualifications: - 3-8 years of experience in data engineering with a strong focus on cloud environments. - Proficiency in PySpark or Spark is mandatory. - Proven experience with data ingestion, transformation, and data warehousing. - In-depth knowledge and hands-on experience with cloud services(AWS/Azure): - Demonstrated ability in performance optimization of Spark jobs. - Strong problem-solving skills and the ability to work independently as well as in a team. - Cloud Certification (AWS, Azure) is a plus. - Familiarity with Spark Streaming is a bonus.

Posted 1 month ago

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Direct WalkIn at Tcs Pune on 21 June For .Net/AWS/Mainframe & more Tata Consultancy Services

5.0 - 10.0 years

4 - 8 Lacs

Pune

Work from Office

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

Posted 1 month ago

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LTIMindtree Hiring - AWS Data Engineer - (5-12 Years) - Kolkata Ltimindtree

5 - 10 years

0 Lacs

Kolkata

Hybrid

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 -

Posted 2 months ago

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