Big Data Engineer
1 week ago
Azure Databricks Engineer (en) at krtrimaIQ Cognitive Solutions, located in Bangalore, requires a skilled professional to design and develop large-scale data processing pipelines on Microsoft Azure. The ideal candidate should have strong experience with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Databricks.
Key Responsibilities:
Data engineering & development: Create and maintain efficient data processing workflows on Azure platforms. Implement best practices in data modeling, integration, and ETL/ELT processes for structured, semi-structured, and unstructured data sources. Set up and manage databases and storage solutions, such as Azure SQL Database and Blob Storage, to ensure optimized data storage for business needs. Ensure high-quality data through advanced transformation and cleansing techniques and regular audits. Collaborate with data scientists and analysts to understand data requirements and ensure smooth operations. Document all processes and workflows effectively.
Required Skills and Qualifications:
Azure expertise: Strong experience with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Databricks, and Azure SQL Database. Proficiency in designing ETL/ELT workflows and experience in data wrangling, cleansing, and transforming large datasets. Solid understanding of Python or Scala for data processing and SQL proficiency for data manipulation and querying. Experience in data modeling techniques and best practices for both OLTP and OLAP systems. Familiarity with Spark or other big data processing frameworks is a plus. Basic understanding of machine learning models and pipelines on Azure Machine Learning is desired. Certification in Azure services is an advantage. Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Minimum 5+ years of experience in data engineering with a strong focus on Azure services.
Benefits:
We offer a competitive salary package of ₹1,250,000 - ₹2,500,000 per annum, depending on experience. You will also receive benefits like continuous learning opportunities, flexible work hours, and a supportive team environment.
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