Senior Data Engineer - Azure
Hyderabad, India
Columbus
Transform, maximise and future-proof your business digitally, with services and software from Columbus.Job Summary:
We’re looking for a skilled and passionate Data Engineer to build robust, scalable data platforms using cutting-edge technologies.
If you have expertise in Databricks, Python, PySpark, Azure Data Factory, Azure Synapse, SQL Server, and a deep understanding of data modeling, orchestration, and pipeline development, this is your opportunity to make a real impact.
You’ll thrive in our cloud-first, innovation-driven environment, designing and optimizing end-to-end data workflows that drive meaningful business outcomes.
If you're committed to high performance, clean data architecture, and continuous learning, we want to hear from you!
Required Qualifications:
- Education: BE, ME/MTech, MCA, MSc, MBA, or equivalent industry experience
- Experience: 5–8 years working with data engineering technologies ( Databricks, Azure, Python, SQL Server, PySpark, Azure Data Factory, Synapse, Delta Lake, Git, CI/CD Tech Stack, MSBI etc.)
Preferred Qualifications & Skills:
Must-Have Skills:
- Expertise in relational & multi-dimensional database architectures
- Proficiency in Microsoft BI tools (SQL Server SSRS, SSAS, SSIS), Power BI, and SharePoint
- Strong experience in Power BI MDX, SSAS, SSIS, SSRS, Tabular & DAX Queries
- Deep understanding of SQL Server Tabular Model & multidimensional database design
- Excellent SQL-based data analysis skills
- Strong hands-on experience with Azure Data Factory, Databricks, PySpark/Python
Nice-to-Have Skills:
- Exposure to AWS or GCP
- Experience with Lakehouse Architecture, Real-time Streaming (Kafka/Event Hubs), Infrastructure as Code (Terraform/ARM)
- Familiarity with Cognos, Qlik, Tableau, MDM, DQ, Data Migration
- MS BI, Power BI, or Azure Certifications
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure CI/CD Data analysis Databricks Engineering GCP Git Kafka Power BI PySpark Python Qlik SharePoint SQL SSIS Streaming Tableau Terraform
Perks/benefits: Career development
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