Data Engineer - AWS

Fractal Analytics

Bengaluru

On-site

INR 1,500,000 - 2,800,000

Full time

5 days ago
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Job summary

Fractal Analytics in Bengaluru is seeking an AWS Data Engineer to design and maintain scalable data pipelines on AWS. You will work with PySpark, SQL, and AWS services like Glue, Athena, and Redshift to enable data-driven decisions.

You will collaborate with cross-functional teams, optimize ETL processes including Informatica PowerCenter, and ensure data quality and performance across databases such as Redshift, PostgreSQL, and Oracle.

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.

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

PySpark
SQL
Python

Tools

Informatica PowerCenter
AWS Glue
Athena
Redshift
Airflow
PostgreSQL
Oracle
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!

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