Data Engineer (AWS)

Weekday (YC W21); Gurugram District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading tech firm in Gurugram District is seeking an experienced Data Engineer. You will design, build, and optimize data pipelines using AWS tools. The ideal candidate should have over 5 years of experience in data engineering and strong skills in SQL and data orchestration. This is a chance to work in a dynamic environment focused on data quality and modernization.

Qualifications

• 5+ years of hands-on experience in data engineering.
• Proven expertise in the AWS ecosystem (Glue, Kinesis, Redshift, S3).
• Proficiency in SQL, Databricks, and data pipeline orchestration tools.
• Strong understanding of data analysis, data quality management, and data modeling principles.
• Experience working with data lakes and modern data architectures.
• Excellent problem-solving, communication, and collaboration skills.

Responsibilities

• Design, develop, and maintain robust data pipelines and ETL workflows using AWS tools.
• Work extensively with SQL and Databricks to analyze large datasets.
• Implement data orchestration and workflow automation using Airflow or Step Functions.
• Ensure data quality, integrity, and consistency across systems.
• Collaborate with cross-functional teams to support data-driven decision-making.
• Optimize data storage and processing for scalability in a cloud-native environment.

Skills

SQL

AWS (Glue, Kinesis, Redshift, S3)

Databricks

Data Pipeline Development

Airflow / Step Functions

Data Quality Management

Data Lake Architecture

Job description

Overview

We are seeking an experienced Data Engineer with deep expertise in the AWS data ecosystem to design, build, and optimize scalable data pipelines and platforms. The ideal candidate will have strong analytical skills, hands-on experience in modern data architectures, and a passion for delivering high-quality, reliable data solutions.

Responsibilities

• Design, develop, and maintain robust data pipelines and ETL workflows using AWS tools such as Glue, Kinesis, Redshift, S3, and Data Lake architectures.
• Work extensively with SQL and Databricks to process, transform, and analyze large datasets.
• Implement data orchestration and workflow automation using tools like Airflow or Step Functions.
• Ensure data quality, integrity, and consistency across systems through rigorous validation and monitoring practices.
• Collaborate with cross-functional teams, including data analysts and software engineers, to support data-driven decision-making.
• Optimize data storage, retrieval, and processing for scalability and performance in a cloud-native environment.

Requirements

• 5+ years of hands-on experience in data engineering.
• Proven expertise in the AWS ecosystem (Glue, Kinesis, Redshift, S3).
• Proficiency in SQL, Databricks, and data pipeline orchestration tools.
• Strong understanding of data analysis, data quality management, and data modeling principles.
• Experience working with data lakes and modern data architectures.
• Excellent problem-solving, communication, and collaboration skills.

Core Skills

• SQL
• AWS (Glue, Kinesis, Redshift, S3)
• Databricks
• Data Pipeline Development
• Airflow / Step Functions
• Data Quality Management
• Data Lake Architecture