AWS Data Engineer ( 6-8 Years), Pune/ Indore/ Delhi/Hyderaba …
AWS Data Engineer ( 6-8 Years), Pune/ Indore/ Delhi/Hyderaba …
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Indore, India
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Posted: less than a week ago
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Description
Dear Professionals Greetings from Tata consultancy Services, Job Title : AWS Data Engineer Experiernce: 6-8 Years Location: Chennai/Pune/Indore/Hyderabad/Delhi Mode of Work: Work from Office Mode of Interview: Virtual Notice period: Immediate to 45 Days
- Cloud Services: Advanced AWS data stack including Amazon S3, AWS Glue, Redshift, Kinesis, Lambda, EMR, and Athena.
- Programming & Processing: Python, Scala, and Spark (PySpark). Solid grasp of distributed computing and optimization.
- Data Warehousing & Modeling: Dimensional modeling, star/snowflake schema design, and designing lakehouse architectures.
- Orchestration: Apache Airflow, MWAA (Managed Workflows for Apache Airflow), or AWS Step Functions
- Data Lakehouse: Integrating Apache Iceberg and Hudi directly into AWS Glue and S3 architectures.
- Serverless Data Ops: Optimizing costs by moving heavily toward serverless ETL instead of always-on EMR clusters.
- Gen AI & Vector Databases: Basic knowledge of vector embeddings and integrating Amazon Bedrock or Amazon Open Search into standard data pipelines If you are Interested in the above chance kindly share your updated resume to immediately with the details below (Mandatory) Name: Contact No. Email id: Skillset: Total exp: Relevant Exp: Fulltime highest qualification (Year of completion with percentage scored): Current organization details (Payroll company): Current CTC: Expected CTC: Notice period: Current location: Preffered Location Any gaps between your education or career (If yes pls specify the duration): Will you be able to join within 30/45 days? (Yes/NO) Apply on Kit Job: kitjob.in/job/4naqxr
- Cloud Services: Advanced AWS data stack including Amazon S3, AWS Glue, Redshift, Kinesis, Lambda, EMR, and Athena.
- Programming & Processing: Python, Scala, and Spark (PySpark). Solid grasp of distributed computing and optimization.
- Data Warehousing & Modeling: Dimensional modeling, star/snowflake schema design, and designing lakehouse architectures.
- Orchestration: Apache Airflow, MWAA (Managed Workflows for Apache Airflow), or AWS Step Functions
- Data Lakehouse: Integrating Apache Iceberg and Hudi directly into AWS Glue and S3 architectures.
- Serverless Data Ops: Optimizing costs by moving heavily toward serverless ETL instead of always-on EMR clusters.
- Gen AI & Vector Databases: Basic knowledge of vector embeddings and integrating Amazon Bedrock or Amazon Open Search into standard data pipelines If you are Interested in the above chance kindly share your updated resume to immediately with the details below (Mandatory) Name: Contact No. Email id: Skillset: Total exp: Relevant Exp: Fulltime highest qualification (Year of completion with percentage scored): Current organization details (Payroll company): Current CTC: Expected CTC: Notice period: Current location: Preffered Location Any gaps between your education or career (If yes pls specify the duration): Will you be able to join within 30/45 days? (Yes/NO) Apply on Kit Job: kitjob.in/job/4naqxr
Highlights
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Company nameTata Consultancy Services
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Job positionAWS Data Engineer ( 6-8 Years), Pune/ Indore/ Delhi/Hyderabad/Chennai
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