AWS Data Engineer - Manager

One of the Big 4 professional services firms in India
Data
Staff Software Engineer
Hybrid
8+ years of experience
Enterprise SaaS

Description For AWS Data Engineer - Manager

Deloitte, one of the prestigious Big 4 professional services firms, is seeking experienced AWS Data Engineers to join their team in multiple locations across India. This hybrid role offers an opportunity to work with cutting-edge AWS data services and big data technologies. The position involves designing and implementing robust data pipelines, analytics solutions, and maintaining data infrastructure using various AWS services.

The role requires extensive experience in AWS data services, including Glue, EMR, Lambda, Athena, and Redshift, along with expertise in Python, PySpark, and SQL. You'll be responsible for building and maintaining data lakes, developing ETL processes, and ensuring data quality and security. The position offers the chance to work with a diverse team of data scientists and analysts while implementing enterprise-scale solutions.

As a Manager-level AWS Data Engineer, you'll lead technical initiatives and contribute to architectural decisions that impact large-scale data operations. The role combines technical expertise with leadership responsibilities, making it ideal for experienced professionals looking to advance their careers with a globally recognized firm.

Working at Deloitte means joining a prestigious organization with a strong global presence and reputation in professional services. The hybrid work model offers flexibility while maintaining collaborative opportunities with talented professionals across India. This role is perfect for someone who wants to work with enterprise-level data solutions while being part of a respected organization that values innovation and technical excellence.

Last updated 12 days ago

Responsibilities For AWS Data Engineer - Manager

  • 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/PostgreSQL
  • 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 - Manager

Python
PostgreSQL
  • Bachelor's degree in computer science, Information Technology, or related field
  • 8-12 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
  • Experience with Big Data technologies: Hadoop, Spark, Delta Lake
  • Knowledge of ETL/ELT processes
  • Experience with version control: Git
  • Understanding of Agile methodologies

Benefits For AWS Data Engineer - Manager

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

Interested in this job?

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