Aws Data Engineer
Cloud Solutions · Bengaluru · hybrid · Posted 1d ago
About a minute. You'll make an account on the way through.
About this role
Role & Responsibilities
- Develop and maintain scalable data pipelines using AWS Glue, Amazon S3, Python, PySpark, and SQL.
- Build ETL/ELT workflows for data ingestion, transformation, and loading.
- Work with Amazon Redshift, Athena, Lambda, and other AWS services.
- Optimize data processing jobs, SQL queries, and pipeline performance.
- Implement data quality checks, validation, and error handling.
- Monitor pipeline execution, troubleshoot failures, and ensure reliable data delivery.
- Collaborate with cross-functional teams to deliver business data requirements.
Preferred Candidate Profile
- Strong hands-on experience in AWS Data Engineering.
- Proficiency in Python, PySpark, SQL, and Apache Spark.
- Experience with AWS Glue, Amazon S3, Redshift, and Athena.
- Good understanding of ETL/ELT, data warehousing, and data lake concepts.
- Knowledge of incremental data loading, partitioning, and performance tuning.
- Experience working with large datasets and production data pipelines.
- Good problem-solving, communication, and troubleshooting skills.
Perks and Benefits
- Competitive salary based on experience and skills.
- Opportunity to work on cloud-based data engineering projects.
- Learning and career growth opportunities.
- Collaborative and professional work environment.
- Exposure to modern AWS cloud technologies and data engineering tools.
Sourced from naukri
Skills
About Cloud Solutions
Cloud Solutions
25
employees
₹7.3L PA avg
Avg at Cloud Solutions
₹15L – ₹30L PA
This role
About
CloudIQ Tech was founded with a singular vision: to be the essential technology backbone for enterprises navigating the complexities of the modern digital landscape. We saw a future where businesses wouldn't just use technology but engineer intelligence into their core. As AI evolved from a nascent concept to a transformative force, so did CloudIQ.
We've matured into a specialist partner uniquely positioned to guide organizations from foundational infrastructure to cutting-edge agentic AI, ensuring that every technological investment drives genuine business value and fosters breakthrough innovation.
At CloudIQ, AI isn't merely a feature; it's the fundamental operating principle woven into every solution we deliver. By embedding AI at every layer, we tackle the challenges of integrating disparate systems, modernizing legacy environments, and developing next-generation applications. This allows us to automate complex workflows, surface actionable insights, and build truly adaptive, intelligent enterprises ready for tomorrow's challenges.
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