Azure Data Bricks + SQL

13 hours ago

Hyderabad, Telangana, India Neev Systems Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Home » Azure Data Bricks + SQL

Azure Data Bricks + SQL

  • by HR Neev Systems
  • September 25, 2025September 25, 2025

Experience :
5 + Years

Location :
Hyderabad

Job Description
We are seeking an experienced
Azure Databricks + SQL Developer / Big Data Engineer
to design, develop, and maintain scalable data solutions on Azure. The role will focus on building efficient ETL/ELT pipelines, optimizing SQL queries, and leveraging Databricks and other Azure services for advanced data processing, analytics, and data platform engineering. The ideal candidate will have a strong background in both traditional SQL development and modern big data technologies on Azure.

Key Responsibilities

  • Develop, maintain, and optimize ETL/ELT pipelines using Azure Databricks (PySpark/Spark SQL).
  • Write and optimize complex SQL queries, stored procedures, triggers, and functions in Microsoft SQL Server.
  • Design and build scalable, metadata-driven ingestion pipelines for both batch and streaming datasets.
  • Perform data integration and harmonization across multiple structured and unstructured data sources.
  • Implement orchestration, scheduling, exception handling, and log monitoring for robust pipeline management.
  • Collaborate with peers to evaluate and select appropriate tech stack and tools.
  • Work closely with business, consulting, data science, and application development teams to deliver analytical solutions within timelines.
  • Support performance tuning, troubleshooting, and debugging of Databricks jobs and SQL queries.
  • Work with other Azure services such as Azure Data Factory, Azure Data Lake, Synapse Analytics, Event Hub, Cosmos DB, Streaming Analytics, and Purview when required.
  • Support BI and Data Science teams in consuming data securely and in compliance with governance standards.

Required Skills & Experience

  • 5–9 years of overall IT experience with at least 4+ years in Big Data Engineering on Microsoft Azure.
  • Proficiency in Microsoft SQL Server (T-SQL) — stored procedures, indexing, optimization, and performance tuning.
  • Strong experience with Azure Data Factory (ADF), Databricks, ADLS, PySpark, and Azure SQL Database.
  • Working knowledge of Azure Synapse Analytics, Event Hub, Streaming Analytics, Cosmos DB, and Purview.
  • Proficiency in SQL, Python, and either Scala or Java with debugging and performance optimization skills.
  • Hands-on experience with big data technologies such as Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, and Elastic Search.
  • Strong understanding of file formats such as Delta Lake, Avro, Parquet, JSON, and CSV.
  • Solid background in data modeling, data transformation, and data governance best practices.
  • Experience designing and building REST APIs with practical exposure to Data Lake or Lakehouse projects.
  • Ability to work with large and complex datasets, ensuring data quality, governance, and security standards.
  • Certifications such as DP-203: Data Engineering on Microsoft Azure or Databricks Certified Developer (DE) are a plus.

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