Columbus Sverige
Senior Data Engineer - Azure Data & AI · Hyderabad
Columbus Sverige, Montgomery, Alabama, United States
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: 8-12 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
#J-18808-Ljbffr
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: 8-12 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
#J-18808-Ljbffr