Aws Data Engineer

HIRING FOR ONE OF THE REPUTED MNC’S!

Job Title: AWS Data Engineer

Experience: 6 to 9 Years
Locations: Bangalore, Hyderabad, Chennai, Pune
Employment Type: Full-Time
Notice Period: Immediate to 30 Days
Education: Any Full-Time Graduate / Post Graduate

Job Description

We are looking for an experienced AWS Data Engineer with 6 to 9 years of hands-on experience in designing, developing, and maintaining scalable data engineering solutions. The ideal candidate should have strong expertise in AWS Glue, AWS Lambda, PySpark, SQL, Databricks, and Azure Data Factory (ADF).

You will be responsible for developing robust data pipelines, performing data transformations, optimizing data processing workflows, and collaborating with cross-functional teams to deliver high-quality data solutions.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using AWS services.
• Develop and optimize ETL/ELT workflows using AWS Glue and PySpark.
• Build and maintain serverless data processing solutions using AWS Lambda.
• Write complex and optimized SQL queries for data extraction, transformation, and analysis.
• Develop data engineering solutions using Databricks and PySpark.
• Work with Azure Data Factory (ADF) for data integration and pipeline development.
• Perform data transformation, cleansing, validation, and quality checks.
• Optimize data pipelines for performance, scalability, and cost efficiency.
• Troubleshoot data pipeline issues and ensure timely resolution.
• Collaborate with data architects, analysts, developers, and business stakeholders.
• Follow best practices for data security, governance, monitoring, and deployment.

Required Skills

• 6 to 9 years of experience in Data Engineering.
• Strong hands-on experience with AWS Glue.
• Strong knowledge of AWS Lambda and AWS data services.
• Excellent programming experience with PySpark.
• Strong expertise in SQL and database concepts.
• Hands-on experience with Databricks.
• Experience working with Azure Data Factory (ADF).
• Strong understanding of ETL/ELT concepts and data pipeline architecture.
• Good understanding of data warehousing and data integration concepts.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.

Preferred Candidate

• Candidates who can join immediately or within 30 days are preferred.
• Candidates should be willing to work from Bangalore, Hyderabad, Chennai, or Pune.
• Any full-time Graduate / Post Graduate qualification is acceptable.