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Azure Databricks Engineering Specialist

1 month ago

Nashik, Maharashtra, India krtrimaIQ Cognitive Solutions Full time

We are seeking an experienced Azure Databricks Engineer to join our team at krtrimaIQ Cognitive Solutions in Bangalore. This role offers a competitive salary and benefits package, along with opportunities for continuous learning and professional development.

About the Role:

The successful candidate will be responsible for designing, developing, and maintaining large-scale data processing pipelines on Microsoft Azure, utilizing tools like Azure Data Factory (ADF), Azure Synapse Analytics, and Databricks. Key responsibilities will include implementing best practices in data modeling, data integration, and ETL/ELT processes to manage data across structured, semi-structured, and unstructured sources.

Additionally, the individual will be expected to set up and manage Azure SQL Database, Azure Data Lake, Blob Storage, and ensure optimized data storage solutions for various business requirements. They will also be responsible for ensuring data quality and integrity using advanced transformation and cleansing techniques, and performing regular audits.

Requirements:

  • Azure Expertise: Strong experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake, Databricks, and Azure SQL Database is essential.
  • 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.

Salary Information: The estimated annual salary for this position is ₹1,200,000 - ₹1,800,000 depending on qualifications and experience. Benefits include a comprehensive compensation package, including a bonus structure and opportunities for career advancement.