Azure Data engineer

7 days ago

Hyderabad, Telangana, India Intrelsys Consulting Full time ₹ 12,00,000 - ₹ 18,00,000 per year
  • JD Link Employer details Company Name Neevsystems Website URL Company Type (product/services) IT Services and IT Consulting Year of establishment 8 years Number of employees 200 employees Head Office (Location) California, US Number of Branches, their location (If applicable) US & India Yearly Growth Goals Company USP to join Work flexibility, Work Life Balance, Variable Pay Health Insurance/Employee benefit plans Yes Transport Facility (if WFO) No Job Requirement details Job Title / Role Azure Data Bricks + SQL Type of Employment (Full time/Contract/Contract to hire) Full time Years of Experience Required (Min-Max) 5-9 years No. of Positions 1 CTC in INR 20-25 LPA Bounty Highest Qualification Required Bachelor's degree in Finance, Accounting, Information Systems, or a related field. An MBA or relevant certifications is a plus. Work Location Hyderabad Mode of Work (Remote/On-site/Hybrid) WFO /Hybrid Notice Period/ Start Date Flexibility Immediate On-site feasibility (work abroad) No Interview Rounds L1 - Internal Technical (Virtual/F2F) depends L2 - Client Round (Virtual) - 2 rounds HR Interview Panel Time slots Flexible Office Time 3:00 PM – 12:00 AM Weekend Drives Salaries paid on Last working day of the month Must/Good to Have Details Must have 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. Ability to work with large and complex datasets, ensuring data quality, governance, and security standards. Good to have Experience designing and building REST APIs with practical exposure to Data Lake or Lakehouse projects. Certifications such as DP-203: Data Engineering on Microsoft Azure or Databricks Certified Developer (DE) are a plus. Key role and 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."

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