Data Engineer

1 day ago

Gurgaon, Haryana, India Weekday Full time ₹ 3,00,000 - ₹ 10,00,000

This role is for one of our clients

Company Name:

Industry: Technology, Information and Media

Seniority level: Mid-Senior level

Min Experience: 5 years

Location: NCR

JobType: full-time

₹3,00,000 - ₹10,00,000 a year 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.
Key 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

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