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As an AWS Data Engineer, you will write efficient code in PySpark and SQL, collaborate with teams to build data products, and deliver projects on time.
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Develop and maintain data pipelines using AWS services, create data models, and optimize queries. Collaborate with teams to address data needs.
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The Senior AWS Data Engineer will develop and maintain data pipelines, create data models, and ensure efficient data orchestration using AWS services and tools. Collaborating with teams, the engineer will optimize data processes and communicate solutions effectively.
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ProArch is seeking an experienced AWS Data Engineer to join our team. As an AWS Data Engineer, you will be responsible for designing, building, and maintaining data solutions on the AWS platform.
Job Description:
- Must to Have Skills : AWS - Data Engineer - PySpark, Glue, S3, Athena
- To work in the capacity of AWS Cloud developer.
- Scripting/programming in Python/Pyspark.
- Design/Develop solutions as per the specification.
- Able to translate functional and technical requirements into detailed design.
- Work with partners for regular updates, requirement understanding and design discussions.
- AWS Cloud platform services stack - S3, EC2, EMR, Lambda, RDS, DynamoDB, Kinesis, Sagemaker, Athena etc.
- SQL Knowledge.
- Exposure to Data warehousing concepts like - Data Warehouse, Data Lake, Dimensions etc.
- Good communication skills are must
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
