Azure Data Engineer(SSE/DE/SDE)

7 days ago

Hyderabad India Tiger Analytics Full time

Job Description Role Overview: SDE/DE We are seeking technically strong Senior Data Engineers / Leads who can take ownership of designing and developing cutting-edge data and AI platforms using big data and cloud technologies on Microsoft Azure. You will play a critical role in building scalable data pipelines, modern data architectures, and intelligent analytics solutions. Key Responsibilities - Design and implement scalable, metadata-driven frameworks for data ingestion, quality, and transformation across both batch and streaming datasets. - Develop and optimize end-to-end data pipelines to process structured and unstructured data, enabling the creation of analytical data products. - Build robust exception handling, logging, and monitoring mechanisms for better observability and operational support. - Take ownership of complex modules and lead the development of critical data workflows and components. - Provide guidance to data engineers and peers on best practices, conduct code reviews, and enforces standards. - Collaborate with cross-functional teamsincluding business consultants, data architects, scientists, and application developersto deliver impactful analytics solutions. External Skills And Expertise - 510 years of total IT experience, including at least 3 years in big data engineering on Microsoft Azure. - Strong SQL expertise with experience in writing, optimizing, and troubleshooting complex queries on Azure SQL, Synapse, or similar cloud databases. - Solid understanding of Spark architecture and core APIs - RDD, Dataframe, Dataset. - Strong understanding of the Databricks ecosystem, including Notebooks, Workflows, Unity Catalog, SQL Warehouse, Serverless compute, latest databricks features. - Proven expertise in designing and developing scalable, high-performance data pipelines and automated workflows in Azure Databricks leveraging PySpark, Spark SQL. - Experience in designing, building and orchestrating complex, parameterized pipelines in Azure Data Factory. - Familiarity with both batch and streaming data processing. - Solid understanding of data-modelling techniques (dimensional, 3NF) and data warehousing concepts - Experience delivering at least one end-to-end Data Lakehouse solution in Azure using the Medallion Architecture - Knowledge of different file formats such as Delta Lake, Avro, Parquet, JSON, and CSV - Advanced programming, unit-testing, and debugging skills in Python, PySpark, and SQL - Knowledge of data security and lifecycle management policies across Azure environment. - Familiarity with DevOps practices (CI/CD, Git, automated deployments). - Collaborative mindset with enthusiasm for working with stakeholders across the organization and taking ownership of deliverables. Good To Have - Exposure to developing LLM/Generative AI-powered applications. - Knowledge about NoSQL database. - Experience in supporting BI and Data Science teams in consuming the data in a secure and governed manner. - Relevant Certifications on Microsoft Azure or Databricks are valuable addition.

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