Data Engineer

Coforge; Hyderabad; On-site; INR 2,800,000 - 4,000,000; Full time

Job summary

Coforge is hiring a Data Engineer in Hyderabad to design, develop, and maintain scalable data pipelines and ETL workflows using AWS services. You will work with AWS Glue to build and schedule ETL pipelines and manage complex data workflows with Apache Airflow, ideally MWAA. Proficiency in SQL, Python, and Snowflake is required to transform data efficiently.

Ideally, you have 9–12 years in IT with strong data engineering experience and are available to join immediately or on short notice.

Qualifications

• 9–12 years of overall IT experience with strong experience in Data Engineering.
• Strong hands-on development experience in AWS Glue, Airflow, Snowflake, SQL, and Python.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using AWS services.
• Strong hands-on experience with AWS Glue for building, scheduling, and managing ETL pipelines.
• Develop and manage complex data workflows using Apache Airflow, preferably Amazon MWAA (Managed Workflows for Apache Airflow).
• Write complex and optimized SQL queries, stored procedures, and data transformation logic.

Skills

AWS

Airflow

Snowflake

SQL

Python

ETL

Tools

AWS Glue

Job description

Skills: AWS (Airflow , Glue) , Snowflake, SQL, Python, ETL

Experience: 9-12 years

Notice Period : 0- 30days

We at Coforge Hiring for Data Engineer with the following skillset

Recommended Skills: AWS (Airflow , Glue) , Snowflake, SQL, Python, ETL

Job Description

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using AWS services.
• Strong hands-on experience with AWS Glue for building, scheduling, and managing ETL pipelines.
• Develop and manage complex data workflows using Apache Airflow, preferably Amazon MWAA (Managed Workflows for Apache Airflow).
• Write complex and optimized SQL queries, stored procedures, and data transformation logic.

Qualification:

9–12 years of overall IT experience with strong experience in Data Engineering.

Strong hands-on development experience in AWS Glue, Airflow, Snowflake, SQL, and Python.

Candidates who can join immediately or within a short notice period will be preferred.