Info Origin Inc.
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Hyderabad · On-site · 8-11 Yrs · Aug 24
1 to 50 Employees · Topeka, US
Hiring: Engineering
What employees say
+ Some leads are genuinely smart and learnt a lot
− Micro Management Boring All Family members are selected
More reviews on the company profile.
Interview experience · Software Engineer
The interview was good. It started off with basics like tell me about yourself and then it went on to Little technical interview was smooth and very supportive. It got to a point where we were not having a conversation,
Average difficulty · Pune · 11 reports
More interview insightsJob description
Overview
NEW OPPORTUNITY || IMMEDIATE TO 20 DAYS JOINERS REQUIRED ||
Responsibilities
- Design, develop, and optimize scalable data pipelines using Azure Databricks.
- Build and maintain robust ETL/ELT workflows for large-scale data processing.
- Develop interactive dashboards and reports using Power BI.
- Integrate data from multiple sources and ensure high-quality, reliable data pipelines.
- Optimize Databricks notebooks, Spark jobs, and overall platform performance.
- Collaborate with data engineers, business analysts, and stakeholders to understand business requirements and deliver effective data solutions.
- Ensure data security, governance, and best practices across Azure environments.
- Troubleshoot production issues and provide timely resolutions.
- Participate in code reviews and contribute to continuous improvement initiatives.
Qualifications
- Location:- Hyderabad (Onsite)
- Position Type:- Full-Time
- Job Summary
- We are looking for an experienced Azure Databricks Developer to join our growing data engineering team. The ideal candidate should have strong hands-on experience in Azure Databricks and Power BI, with the ability to design, develop, and optimize scalable data solutions on the Azure platform. Experience with Databricks AI offerings (Mosaic AI) will be an added advantage.
- 8–12 years of relevant experience in Data Engineering.
- Strong hands-on experience with Azure Databricks.
- Good experience in developing data pipelines using Apache Spark (PySpark/Scala).
- Hands-on experience with Power BI for dashboard and report development.
- Strong knowledge of SQL and data modeling concepts.
- Good understanding of ETL/ELT processes and data warehousing concepts.
- Excellent analytical, problem-solving, and communication skills.
- Knowledge of Azure Data Factory, Azure Synapse Analytics, or Delta Lake.
- Exposure to CI/CD pipelines and DevOps practices for data engineering.
- Understanding of machine learning or AI-enabled data platforms.
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