AWS Data Engineer - Consultant

Talent Worx is a consulting company that provides AWS data engineering services to one of the Big 4 companies in India.
Mumbai, Maharashtra, IndiaBengaluru, Karnataka, IndiaIndia Gate, New Delhi, Delhi, India
Data
Mid-Level Software Engineer
Hybrid
11 - 50 Employees
3+ years of experience
Enterprise SaaS

Description For AWS Data Engineer - Consultant

Talent Worx is seeking experienced AWS Data Engineers to join their team in multiple locations across India. This mid-level position requires 3-5 years of experience and offers a hybrid work environment. The role focuses on designing and implementing robust data pipelines and analytics solutions using AWS services.

The ideal candidate will work on cutting-edge data engineering projects, utilizing various AWS services such as Glue, EMR, Lambda, Athena, and Redshift. You'll be responsible for building and maintaining data lakes, developing ETL processes, and creating efficient database solutions. The position requires expertise in Python, PySpark, and SQL, along with strong knowledge of AWS data services.

This is an excellent opportunity for a data engineer looking to work with one of India's Big 4 companies. The role offers exposure to large-scale data infrastructure and the chance to work with modern data lake architectures and serverless technologies. You'll be part of a team that ensures data quality, security, and compliance while optimizing performance and cost-efficiency.

The position requires a bachelor's degree in Computer Science or related field and strong technical skills in AWS data services, big data technologies, and programming languages. You'll collaborate with data scientists and analysts, making this an ideal role for someone who enjoys both technical challenges and cross-functional teamwork.

Working at Talent Worx means being at the forefront of data engineering, implementing best practices in data architecture, and contributing to significant projects for major clients. The hybrid work model offers flexibility while maintaining collaborative opportunities with the team.

Last updated 13 days ago

Responsibilities For AWS Data Engineer - Consultant

  • Design and implement scalable, high-performance data pipelines using AWS services
  • Develop and optimize ETL processes using AWS Glue, EMR, and Lambda
  • Build and maintain data lakes using S3 and Delta Lake
  • Create and manage analytics solutions using Amazon Athena and Redshift
  • Design and implement database solutions using Aurora, RDS, and DynamoDB
  • Develop serverless workflows using AWS Step Functions
  • Write efficient and maintainable code using Python/PySpark, and SQL/PostgrSQL
  • Ensure data quality, security, and compliance with industry standards
  • Collaborate with data scientists and analysts to support their data needs
  • Optimize data architecture for performance and cost-efficiency
  • Troubleshoot and resolve data pipeline and infrastructure issues

Requirements For AWS Data Engineer - Consultant

Python
PostgreSQL
  • Bachelor's degree in computer science, Information Technology, or related field
  • 3-5 years of experience as a Data Engineer, with at least 60% of experience focusing on AWS
  • Strong proficiency in AWS data services: Glue, EMR, Lambda, Athena, Redshift, S3
  • Experience with data lake technologies, particularly Delta Lake
  • Expertise in database systems: Aurora, RDS, DynamoDB, PostgreSQL
  • Proficiency in Python and PySpark programming
  • Strong SQL skills and experience with PostgreSQL

Benefits For AWS Data Engineer - Consultant

  • Work with one of the Big 4's in India

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