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Senior Data Engineer

Job Description

We seek an experienced Data Engineer to join our team and help optimize our data processing and visualization capabilities. The ideal candidate will have a strong background in data engineering, particularly leveraging AWS products.

Roles and Responsibilities:

· Design, develop, and maintain scalable data pipelines and ETL processes for ingesting, transforming, and integrating data from various sources on AWS.

· Utilize AWS services such as S3, EC2, Lambda, and Glue to build and optimize data pipelines.

· Implement data warehousing solutions using Amazon Redshift and optimize querying and data analysis performance.

· Develop and deploy data visualizations and reporting dashboards using Amazon QuickSight to support business decision-making.

· Collaborate closely with stakeholders to identify data requirements and ensure data integrity and accuracy.

· Monitor and maintain data pipeline health, ensuring data quality and availability for end-users.

· Continuously evaluate and implement new technologies and best practices to improve data engineering processes and infrastructure.

· Act as a self-driven individual contributor, taking ownership of projects and proactively identifying opportunities for improvement.

· Provide guidance and mentorship to build an in-house Center of Excellence (CoE)

· Proficient in data analytics.

Requirements:

· Relevant Experience: 5+ Years

· Job Type: Full-time

· Location: Hyderabad, India

· Work Mode: Primary Work-from-Office

 

 

Skills

  • Apache Spark
  • Big Data
  • Data Engineering
  • Database
  • Data Warehousing
  • ML

Education

  • Master's Degree
  • Bachelor's Degree

Job Information

Job Posted Date

Sep 25, 2024

Experience

5-10 Years

Compensation (Annual in Lacs)

Best in the Industry

Work Type

Permanent

Type Of Work

8 hour shift

Category

Information Technology

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