Data Engineer - AWS

Fractal Analytics Inc; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Fractal Analytics Inc. in Bengaluru is seeking an experienced AWS Data Engineer to design and maintain scalable data pipelines on AWS, leveraging PySpark, SQL, and Redshift. You will collaborate with cross-functional teams to translate data requirements into robust solutions.

The role requires 4–8 years of experience, hands-on experience with AWS Glue, Athena, Airflow, Informatica PowerCenter, and PostgreSQL, and a strong focus on data quality and performance.

Qualifications

• Proven experience as a Data Engineer or similar role.
• Proficiency in Informatica PowerCenter, SQL, Redshift, PostgreSQL, Oracle, AWS, Python/PySpark, and GitHub.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.
• Design, develop, and maintain scalable data pipelines on AWS.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Work with Informatica PowerCenter for ETL processes.
• Manage and optimize databases including Redshift, PostgreSQL, and Oracle.
• Develop and maintain data solutions on AWS.
• Write efficient SQL queries and scripts.
• Utilize Python/PySpark for data processing and analysis.
• Collaborate with cross-functional teams to understand data requirements.
• Ensure data quality and integrity.

Skills

Problem-solving

Attention to detail

Teamwork

Communication

Agile methods

Tools

Informatica PowerCenter

SQL

Redshift

PostgreSQL

Oracle

AWS

Python/PySpark

GitHub

Jenkins

SVN

Postman

Job description

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Job Title: AWS Data Engineer

Mandatory Skills: PySpark, SQL, AWS Glue, Athena, Redshift, Airflow

Experience 4-8 years

Location - Bengaluru

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Work with Informatica PowerCenter for ETL processes.
• Manage and optimize databases including Redshift, PostgreSQL, and Oracle.
• Develop and maintain data solutions on AWS.
• Write efficient SQL queries and scripts.
• Utilize Python/PySpark for data processing and analysis.
• Collaborate with cross-functional teams to understand data requirements.
• Ensure data quality and integrity.

Requirements

• Proven experience as a Data Engineer or similar role.
• Proficiency in Informatica PowerCenter, SQL, Redshift, PostgreSQL, Oracle, AWS, Python/PySpark, and GitHub.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.
• Design, develop, and maintain scalable data pipelines on AWS.

Preferred Qualifications

• Experience with Jenkins, SVN, and Postman.
• Knowledge of data warehousing concepts and best practices.
• Familiarity with Agile development methodologies.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!