Sr. Data Engineer - Pyspark AWS @ Edu Angels India

Job Description

Responsibility:

• Design and develop scalable data ingestion frameworks to transform a variety of datasets.
• Define and Design Source target mappings.
• Build reliable data pipelines to clean, aggregate, and transform large volumes of data from multiple sources.
• Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Working with stakeholders including data, design, product, and executive teams, and assisting them with data-related technical issues

Eligibility:

• Hands-on experience from AWS cloud technologies like S3, AWS glue, Glue Catalog, Athena, AWS Lambda, AWS DMS, Redshift, RDS, Pyspark, and Kinesis.
• Experience within Java or Python, SQL.
• Practical experience with Python, pyspark, and SQL including the ability to write, analyze and debug processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Familiarity with Batch and Streaming pipelines.
• Familiarity with the AWS ecosystem specifically Ec2, ECS, VPC, and Security Groups.
• Communication skills, especially explaining technical concepts to non-technical business leaders.
• Able to schedule and automate pipeline. Good to have DevOps knowledge.

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Rs 0 - 50K PM Rs 50K - 1 LPA Rs 1.0 - 1.5 LPA Rs 1.5 - 2.0 LPA Rs 2.0 - 2.5 LPA Rs 2.5 - 3.0 LPA Rs 3.0 - 3.5 LPA Rs 3.5 - 4.0 LPA Rs 4.0 - 4.5 LPA Rs 4.5 - 5.0 LPA Rs 5 - 6 LPA Rs 6 - 7 LPA Rs 7 - 8 LPA Rs 8 - 9 LPA Rs 9 - 10 LPA Rs 10 - 12 LPA Rs 12 - 14 LPA Rs 14 - 16 LPA Rs 16 - 18 LPA Rs 18 - 20 LPA Rs 20 - 22 LPA Rs 22 - 24 LPA Rs 24 - 26 LPA Rs 26 - 28 LPA Rs 28 - 30 LPA Rs 30 - 32 LPA Rs 32 - 34 LPA Rs 34 - 36 LPA Rs 36 - 38 LPA Rs 38 - 40 LPA Rs 40 - 42 LPA Rs 42 - 44 LPA Rs 44 - 46 LPA Rs 46 - 48 LPA Rs 48 - 50 LPA Rs 50 - 75 LPA Rs 75 Lakh - 1C PA Rs 1 Crore+ PA

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Keyskills:   data engineering spark amazon s3 amazon redshift aws python pyspark