AWS Data Engineer - Consultant

Talent Worx is a consulting company working with one of the Big 4 firms in India.
Mumbai, Maharashtra, IndiaBengaluru, Karnataka, IndiaIndia Gate, New Delhi, Delhi, India
Data
Mid-Level Software Engineer
Hybrid
3+ years of experience
Enterprise SaaS

Description For AWS Data Engineer - Consultant

Talent Worx is seeking an experienced AWS Data Engineer to join their team as a consultant working with one of the Big 4 firms in India. This hybrid role offers an exciting opportunity to design and implement robust data solutions using cutting-edge AWS services. The position requires 3-5 years of experience and focuses on building scalable data pipelines, implementing ETL processes, and managing data lakes using various AWS services including Glue, EMR, Lambda, and S3.

The ideal candidate will have strong expertise in Python, PySpark, and SQL, along with extensive experience with AWS data services. You'll be responsible for creating and optimizing data architectures, ensuring data quality and security, and collaborating with data scientists and analysts. The role involves working with modern data technologies including Delta Lake, various database systems (Aurora, RDS, DynamoDB), and big data tools like Hadoop and Spark.

This position offers a unique opportunity to work on large-scale data engineering projects while being part of a prestigious Big 4 consulting environment. The role is available across multiple major Indian cities including Bangalore, Mumbai, Delhi, Bhubaneswar, and Coimbatore, providing flexibility in location choice. You'll be at the forefront of implementing and maintaining critical data infrastructure, making this an excellent opportunity for a mid-level data engineer looking to advance their career in a consulting role.

The hybrid work arrangement offers a balance between remote and office work, while the association with a Big 4 firm provides excellent exposure to enterprise-level projects and career growth opportunities. If you're passionate about data engineering and AWS technologies, and want to work on challenging projects that impact major businesses, this role offers an ideal platform for your next career move.

Last updated 8 hours 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
  • Knowledge of Big Data: Hadoop, Spark, Delta Lake
  • Experience with ETL/ELT processes
  • Knowledge of Data Lake architectures
  • Experience with version control: Git
  • Understanding of Agile methodologies

Benefits For AWS Data Engineer - Consultant

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

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