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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:
Application Question(s):
Experience:
Work Location: In person
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