DATAECONOMY Hiring For AWS Data Engineer

DATAECONOMY Hiring For AWS Data Engineer

Job Information :

Industry : IT Services City : Hyderabad/Pune State/Province : Telangana Country : India Zip/Postal Code : 500081  

Job Description

AWS Data Engineer
If you are a passionate Data Engineer, you have the chance to be part of a team that looks to build out our next-generation data platform, leveraging new technologies and techniques to maximize the business value out of our data assets and empower innovation.
DATAECONOMY Hiring For AWS Data Engineer
DATAECONOMY Hiring For AWS Data Engineer
You should be an expert at designing, implementing, and operating stable, scalable, low-cost solutions to ETL data from production systems into the data platform. We are looking for a passion for working with vast data sets and someone who loves to bring datasets together to answer business questions and drive growth.

Responsibilities:

As part of our Data Platform team, you will lead data and process innovation for our organization through robust delivery of exceptional solutions. Transform raw data into useful data systems. Overall, you’ll strive for efficiency by aligning data systems with business goals. Contribute to choosing the right technology and ensuring proper data design and implementation in various projects and solutions. Demonstrate hands-on skills in processing large data sets, expertise in data structure, data access patterns, Big Data concepts, and cloud computing. Work with Data Product Owners to understand data requirements, and to build ETL processes.

Requirements

AWS Services:
Required Expertise: EMR, Glue (Jobs, Crawlers, Catalog ), Redshift (Data-warehousing aspects like SCD’s. Dimensional Modeling), Lake formation, S3, Athena
Good to Have: Data pipelines
Data domain Skills:
Required Expertise: Python, Spark (PySpark), Kafka / AWS Kinesis, Building ETL/ELT pipelines for Batch & Real Time data sources, ETL pipelines handling unstructured data
Previous working experience: Building Data Ingestion (ETL/ELT) Pipelines for various data sources & Building Data warehouses, DataLakes

Benefits

Standard company benefits
DATAECONOMY Hiring For AWS Data Engineer

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