▷ (Only 24h Left) Azure Databricks Engineer

2 weeks ago

Bengaluru, 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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