Cloud Data Architect

5 days ago


India Recro Full time

**Job Overview:**

We are seeking a talented AWS Data Engineer to join our team at Recro. As a key member of our cloud solutions group, you will be responsible for designing and building scalable ETL pipelines using AWS Glue, Lambda, and S3.

**About the Role:

  • Develop and manage cloud-based data infrastructure on AWS with a focus on scalability, reliability, and security.
  • Automate workflows with Python, PySpark, and AWS services for real-time and batch data processing.
  • Collaborate with cross-functional teams to deliver impactful data solutions.
  • Optimize performance and cost for high-throughput data systems.

**Requirements and Qualifications:**

To succeed in this role, you will need:

  • 5+ years of experience in Data Engineering, with 3+ years of hands-on AWS expertise (EC2, S3, Glue, Lambda).
  • Advanced proficiency in Python, PySpark, and data pipeline architecture.
  • Knowledge of Big data platforms like Spark/Hadoop, AWS data lakes & warehouses (e.g., Redshift, Athena).
  • Certifications: AWS Certified Data Analytics or Solutions Architect (preferred but not mandatory).

**Estimated Salary:** $120,000 - $180,000 per year.

**Location:** Remote. We offer flexible work arrangements that allow you to balance your personal and professional life.

**What You'll Do:**

  • Design and build scalable ETL pipelines using AWS Glue, Lambda, and S3.
  • Develop and manage cloud-based data infrastructure on AWS with a focus on scalability, reliability, and security.
  • Automate workflows with Python, PySpark, and AWS services for real-time and batch data processing.
  • Collaborate with cross-functional teams to deliver impactful data solutions.
  • Optimize performance and cost for high-throughput data systems.

**What We're Looking For:**

  • Experience: 5+ years in Data Engineering, with 3+ years of hands-on AWS expertise (EC2, S3, Glue, Lambda).
  • Skills: Advanced proficiency in Python, PySpark, and data pipeline architecture.
  • Knowledge: Big data platforms like Spark/Hadoop, AWS data lakes & warehouses (e.g., Redshift, Athena).
  • Certifications: AWS Certified Data Analytics or Solutions Architect (preferred but not mandatory).

**Why Join Us?

We offer a dynamic work environment, opportunities for growth and development, and a competitive salary and benefits package.



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