AWS Data Engineer [Job ID: 8929]

 

AWS Data Engineer

🆔 Job ID: 8929
📍 Location: Hyderabad (Onsite)
🏢 Industry: IT Solution Provider
💼 Experience: 6–8 years

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☁️ Build the data backbone that powers intelligent decisions.

We’re seeking an AWS Data Engineer who thrives on solving complex data challenges — someone who can architect, build, and optimize scalable data pipelines that enable smarter insights across the business.

If you’re fluent in Python, live and breathe AWS, and have hands-on experience with data warehousing and ETL automation, this is your chance to engineer real impact.

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⚙️ What You’ll Do

• Design, develop, and maintain ETL pipelines to ingest and transform large-scale data from multiple sources (APIs, databases, web scraping, flat files).

• Work with AWS Cloud Services such as Lambda, S3, Glue, and DynamoDB to build resilient, cloud-native data solutions.

• Leverage Python and SQL for data processing, automation, and performance optimization.

• Utilize Snowflake and dbt for data warehousing and transformation workflows.

• Implement data orchestration and scheduling using tools like Airflow.

• Ensure data quality, integrity, and reliability through automated validation and testing.

• Support CI/CD pipelines, and continuously enhance development and deployment processes.

• Collaborate with cross-functional teams to enable data-driven innovation.

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🧠 What You Bring

✔ 6–8 years of hands-on experience in data engineering and AWS cloud services.
✔ Advanced proficiency in Python (OOP, packaging, deployment).
✔ Strong SQL development skills and understanding of data modeling principles.
✔ Proven experience in ETL design, orchestration (Airflow), and data quality frameworks.
✔ Solid exposure to Snowflake, dbt, and AWS tools (Lambda, Glue, S3, DynamoDB).
✔ Experience maintaining CI/CD pipelines and driving continuous improvement.
✔ A collaborative mindset, with a focus on clean, efficient, and maintainable code.

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🌍 Why Join Us

• Work with cutting-edge AWS and Snowflake architectures.

• Be part of a data-driven culture that values innovation and technical excellence.

• Opportunity to design scalable data foundations for enterprise-grade analytics.

• Collaborate with global teams and contribute to transformative digital solutions.

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📩 Apply Now: Submit your CV here
📲 WhatsApp CV: https://wa.link/5pv88e
🔐 Confidential Discussion: https://wa.link/lptg0z

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