Smartborn - Data Engineer - SQL/Python (6-10 yrs)

Role : Data Engineer

About Us :

We at Smart born software consulting pvt ltd. , Smartborn engaged with innovative Software IT and technology. We provide the business process outsourcing across India.

It serves around 20+ clients in Bengaluru, 10+ clients in Mumbai, 5+ clients in Chennai and spreading across all the states in India.

Smart born, are currently looking for professionals like you for our client VESTAS. VESTAS is an energy analytics innovation leader with a rich pedigree in renewable software using data science to enable asset management at scale, and precise power forecasting.

We seek to accelerate an era of distributed, reliable, clean and cost-effective energy.

Our product families offer an integrated suite of solutions to optimally plan and orchestrate your energy systems by combining industry expertise with deep analytics to convert data into actionable insights that lower cost and increase asset value.

Job Summary :

We are looking for a skilled Data Engineer with over 6+ years of experience to design, build, and maintain data pipelines and ETL processes. The ideal candidate will have strong knowledge of Azure Data Factory, Databricks, and cloud-based data solutions.

You will collaborate with cross-functional teams to ensure smooth data integration and optimal performance.

Key Responsibilities :

- Design, develop, and maintain ETL pipelines for data ingestion and transformation.

- Build scalable data workflows using Azure Data Factory and Databricks.

- Manage and optimize cloud data infrastructure for efficient data processing.

- Collaborate with data scientists, analysts, and developers to ensure data availability and accuracy.

- Troubleshoot data issues, perform root cause analysis, and ensure data integrity.

- Ensure the implementation of best practices in data engineering and cloud solutions.

Required Qualifications :

- Any bachelor's degree in computer science, Information Technology, or a related field.

- Strong expertise in Azure Data Factory, API,Data Lake, and cloud data platforms.

- Experience with SQL, Python, and Big Data tools.

- Hands-on experience with cloud services (Azure, AWS, or Google Cloud).

- Familiarity with data warehousing concepts and performance optimization.

Preferred Skills :

- Knowledge of CI/CD pipelines and DevOps practices for data operations.

- Experience with data lakes, data governance, and security protocols.

- Strong analytical and problem-solving