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Senior Data Engineering Specialist

2 weeks ago

Delhi, Delhi, India beBeeData Full time ₹ 15,00,000 - ₹ 20,00,000
Job Opportunity

A highly skilled Data Engineer is required to design, develop and support data pipelines and solutions using Azure data engineering services.

The successful candidate will have strong experience in Azure Databricks, Azure Synapse and ADLS Gen2 as well as proficiency in Python, PySpark and SQL.

They will work independently and collaboratively in virtual teams across geographies with a strong analytical and problem-solving skillset.

The ideal candidate will have experience in Agile development practices including estimation, testing and deployment with effective task and time management skills.

Key Responsibilities:
  • Design, develop and support data pipelines and solutions using Azure data engineering services.
  • Implement data flow and ETL techniques leveraging Azure Data Factory, Databricks and Synapse.
  • Cleanse, transform and enrich datasets using Databricks notebooks and PySpark.
  • Orchestrate and automate workflows across services and systems.
  • Collaborate with business and technical teams to deliver robust and scalable data solutions.
  • Work in a support role to resolve incidents handle change/service requests and monitor performance.
Requirements:
  • 3 to 6 years of experience in IT and Azure data engineering technologies.
  • Strong experience in Azure Databricks Azure Synapse and ADLS Gen2.
  • Proficient in Python PySpark and SQL.
  • Experience with file formats such as JSON and Parquet.
  • Working knowledge of database systems with a preference for Teradata and Snowflake.
  • Hands-on experience with Azure DevOps and CI/CD pipeline deployments.
  • Understanding of Data Warehousing concepts and data modeling best practices.
  • Familiarity with SNOW (ServiceNow) for incident and change management.
Preferred Qualifications:
  • DP-203 certification (Azure Data Engineer Associate).
  • Rotational shifts 11 am to 8 pm 2 pm to 11 pm or 5 pm to 2 am.
  • Availability for on-call support monthly once.