Qureos

FIND_THE_RIGHTJOB.

AWS Data Engineer

JOB_REQUIREMENTS

Hires in

Not specified

Employment Type

Not specified

Company Location

Not specified

Salary

Not specified

Job Title: AWS Data Engineer

Location: Navi Mumbai , Work From Office 5days

Experience: 6+ Years

Budget: 18-20 LPA

Job Summary:

We are looking for a skilled AWS Data Engineer (Lead) to join our team in Mumbai. The ideal candidate will have 6+ years of experience in designing, building, and optimizing data

pipelines and workflows using AWS cloud technologies. You should be proficient in SQL, PySpark, and Python and have hands-on experience with AWS services like Redshift, EMR, Airflow, CloudWatch, and S3.

Key Responsibilities:

· Design, develop, and maintain scalable ETL/ELT data pipelines using AWS cloud technologies.

· Work with PySpark and SQL to process large datasets efficiently.

· Manage AWS services such as Apache Airflow, Redshift, EMR, CloudWatch, and S3 for data processing and orchestration.

· Implement CI/CD pipelines using Azure DevOps for seamless deployment and automation.

· Monitor and optimize data workflows for performance, cost, and reliability.

· Utilize Jupyter Notebooks for data exploration and analysis.

· Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to ensure smooth data integration.

· Implement Unix commands and Git for version control and automation.

· Ensure best practices for data governance, security, and compliance in cloud environments.

Required Skills:

Programming Scripting:

· SQL, PySpark, Python AWS Tools Services:

· Apache Airflow (Workflow Orchestration)

· Redshift (Data Warehousing)

· EMR (Big Data Processing)

· CloudWatch (Monitoring C Logging)

· S3 (Data Storage)

· Jupyter Notebooks (Data Exploration)

DevOpss CI/CD:

· Azure DevOps (CI/CD Pipelines)

· Git (Version Control)

· Unix Commands (Shell Scripting)

Preferred Qualifications:

· Experience in performance tuning data pipelines and SQL queries.

· Knowledge of data lake and data warehouse architecture.

· Strong problem-solving skills with the ability to troubleshoot data pipeline issues.

· Understanding data security, encryption, and access control in cloud environments.

Job Types: Full-time, Permanent

Pay: ₹1,800,000.00 - ₹2,000,000.00 per year

Ability to commute/relocate:

  • Navi Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

  • Notice period
  • Current CTC
  • Expected CTC

Experience:

  • Data Engineer: 6 years (Required)
  • Programming Scripting: SQL, PySpark, Python : 5 years (Required)
  • AWS Tools Services: 5 years (Required)
  • DevOpss CI/CD: 4 years (Required)

Work Location: In person

© 2025 Qureos. All rights reserved.