Job Summary

Looking for a motivated Cloud Data Engineer with 5-7 years of experience to design, develop, and maintain scalable data pipelines and cloud-based platforms. Hands-on experience with AWS or Azure, along with strong programming skills in Python and SQL, and a solid understanding of ETL/ELT processes, data warehousing, and data modeling is essential.

Experience with orchestration, exposure to batch or real-time processing, and familiarity with CI/CD, Git, and basic DevOps/DataOps practices is desirable. Solid communication skills, a collaborative mindset, and the ability to work effectively with cross-functional teams are key expectations.

Responsibilities

- Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and cloud platforms (AWS/Azure).
- Implement data transformation logic, validation rules, and data quality checks to ensure accuracy, consistency, and reliability of datasets.
- Develop and manage data models, schemas, and data warehouse structures to enable seamless data consumption for analytics and reporting.
- Monitor, troubleshoot, and continuously optimize data pipelines for performance, scalability, reliability, and cost efficiency in cloud environments.
- Ensure adherence to data governance, security, and compliance standards across all data processing and storage layers.




- Collaborate closely with cross-functional teams to deliver scalable, high-quality, and business-aligned data solutions.

Must Have

- Minimum 5-7 years of experience in a Data Engineering role with a B.Tech/BE or equivalent technical background.
- Strong programming skills in Python and SQL with experience in building and optimizing data pipelines.
- Hands-on experience building ETL/ELT pipelines and cloud data services (Azure or AWS).
- Experience working with Databricks or similar distributed data processing frameworks (e.g., AWS Glue).
- Familiarity with workflow orchestration tools like Airflow and version control systems such as Git.
- Experience handling large datasets, implementing data quality checks, and understanding data ingestion, storage, and consumption architectures.
- Good understanding of data quality, monitoring, and basic DevOps/DataOps practices, along with strong problem-solving and communication skills.
- Client and Stakeholder management along with Team Management experience is mandatory.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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