Azure Databricks Engineer

1 month 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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