krtrimaIQ Cognitive Solutions | Azure Databricks Engineer | bangalore

6 hours ago

bangalore, India krtrimaIQ Cognitive Solutions Full time
Job Title: Azure Databricks Engineer
Location: Bangalore
Experience Level: 5+ years of relevant experience
Employment Type: Full-Time
About Us:
Join our team to help shape the future of data solutions We are looking for a skilled Azure Data Engineer to work on cutting-edge projects, transforming large-scale data and enabling data-driven insights for our clients. If you’re passionate about cloud-based data engineering and enjoy creating impactful solutions, let’s talk
Responsibilities:
Data Engineering & Development: Design, develop, and maintain large-scale data processing pipelines on Microsoft Azure, using tools like Azure Data Factory (ADF), Azure Synapse Analytics, and Databricks.
Data Modeling & Integration: Implement best practices in data modeling, data integration, and ETL/ELT processes to manage data across structured, semi-structured, and unstructured sources.
Database & Storage Solutions: Set up and manage Azure SQL Database, Azure Data Lake, Blob Storage, and ensure optimized data storage solutions for various business requirements.
Data Quality & Transformation: Ensure data quality and integrity using advanced transformation and cleansing techniques, and perform regular audits.
Collaboration & Documentation: Work closely with data scientists, analysts, and other engineers to understand data needs and ensure smooth, efficient data operations. Document all processes and workflows effectively.
Monitoring & Optimization: Monitor system performance and make improvements to maximize data pipeline reliability and efficiency. Optimize resource usage and troubleshoot issues as needed.
Required Skills:
Azure Expertise: Strong experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake, Databricks, and Azure SQL Database.
ETL & Data Transformation: Proficiency in designing ETL/ELT workflows with experience in data wrangling, cleansing, and transforming large datasets.
Programming Skills: Solid understanding of Python or Scala for data processing; SQL proficiency for data manipulation and querying.
Data Modeling: Experience in data modeling techniques and best practices for both OLTP and OLAP systems.
Big Data Frameworks: Knowledge of Spark or other big data processing frameworks is a plus.
Data Quality & Governance: Experience in implementing data quality and data governance practices.
Nice to Have:
Power BI: Familiarity with Power BI for data visualization.
Machine Learning: Basic understanding of ML models and pipelines on Azure Machine Learning.
CI/CD & DevOps: Experience with CI/CD processes on Azure DevOps.
Qualifications:
Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
Experience: Minimum of 5+ years in data engineering with a strong focus on Azure services.
What We Offer:
Competitive salary and benefits package
Opportunity to work on innovative projects in a supportive team environment
Continuous learning and professional development opportunities
How to Apply:
If you’re ready to advance your career in Azure data engineering, send your resume to We look forward to connecting with you
Industry
IT Services and IT Consulting
Employment Type
Full

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