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AWS Data Engineer

No of Positions  No of Positions:   2

location Location: Hyderabad

date Tentative Start Date:   February 06, 2024

Work From Work From : Onsite

rate Rate : $ 15  -  18 (Hourly)

experience Experience : 5 to 8 Year

Job Applicants : 6
Job Views : 241
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Job Category : Information Technology & Services
Duration : 6-12  Month
Key Skills Required Skills
Python Pyspark AWS Hadoop
Description

Position Title: AWS Data Engineer

Required Experience: 5+years

Job Location: Hyderabad / Chennai / Indore

Work Timings/Shift: 2 PM - 11 PM 

Job Description (Job Summary/Roles & Responsibilities):

  • Design, develop, and maintain scalable and reliable data pipelines using AWS services, PySpark, and AWS lake formation.
  • Implement ETL processes to extract, transform, and load data from various sources into data lakes or data warehouses.
  • Collaborate with cross-functional teams to understand data requirements, identify data sources, and define data ingestion strategies.
  • Optimize and tune data pipelines to ensure high performance, scalability, and data quality.
  • Monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner.
  • Collaborate with data scientists and analysts to provide them with clean, transformed, and reliable data for analysis and modelling.
  • Develop and maintain data documentation, including data lineage, data dictionaries, and metadata management.
  • Stay up-to-date with industry trends and best practices in data engineering, AWS services, PySpark, Athena, and AWS Lake.
  • Work in a team environment with the product, QE/QA, and cross-functional teams to deliver a project throughout the whole software development cycle.
  • Provide technical support for data-related issues and incidents.
  • Collaborate with other teams to resolve issues and ensure data integrity.

 

Mandatory Skills:

  • 5+ years Experience as a Data Engineer on the AWS
  • Strong technical expertise in Python and PySpark
  • Experience with Big Data Tools such as Hadoop and Apache Spark (Pyspark)
  • Solid experience with AWS services such as Cloud Formation, S3, Athena, Glue, Glue Data Brew, SQS, SNS, AWS Lake Formation, RDS, Redshift, Cloud Watch, Cloud Trail, Lambda, Step Functions,
  • Solid understanding of data modeling, database design, and architecture.
  • Experience with version control systems and collaborative development practices.
  • Responsible for building, test, QA & UAT environments using Cloud Formation.
  • Build & implement CI/CD pipelines for the EDP Platform using Cloud Formation and Jenkins

 

Desired Skills:

  • AWS Certified Big Data - Specialty certification is a plus.
  • Knowledge in Data bricks in preferable.

 

 

 

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