Data Engineering Expert

1 week ago

Pushkar, Rajasthan, India beBeeDataEngineer Full time ₹ 25,00,000 - ₹ 35,00,000
Job Opportunity

We are seeking a skilled Data Engineer to join our organization.

About the Role
  • This is an exciting opportunity for a talented Data Engineer to design, develop, and manage data pipelines and transformation frameworks that enable analytics, reporting, and business intelligence capabilities across the enterprise.
  • The ideal candidate will have hands-on experience in the Microsoft Azure data ecosystem and play a critical role in building scalable ETL/ELT pipelines using Azure Data Factory (ADF), Azure Databricks (Spark), and Azure Synapse Analytics.
Requirements
  • Design and build scalable ETL/ELT pipelines using Azure Data Factory (ADF), Azure Databricks (Spark), and Azure Synapse Analytics.
  • Develop and optimize PySpark/Spark SQL jobs for large-scale batch and streaming data transformations.
  • Ingest data from various sources including Apache Kafka, REST APIs, and RDBMS, ensuring real-time or near-real-time availability.
  • Implement data modeling strategies (star schema, snowflake schema) for analytics consumption layers in Synapse or ADLS.
  • Collaborate with DevOps teams to automate deployment using CI/CD pipelines (Azure DevOps, GitHub Actions, etc.).
  • Monitor, troubleshoot, and optimize data workflows for performance, cost-efficiency, and reliability.
  • Follow coding standards, participate in peer reviews, and maintain version-controlled code in Git repositories.
  • Support data quality checks, logging, alerting, and observability mechanisms for production workloads.
  • Participate in sprint ceremonies and contribute to task estimation and delivery planning.
Essential Skills
  • 5+ years of experience in data engineering roles.
  • Hands-on experience with:
    • Azure Data Factory (ADF) – building pipelines, triggers, linked services.
    • Azure Databricks – building and managing Spark jobs in PySpark.
    • Azure Synapse Analytics – data warehousing, SQL queries, workspace orchestration.
    • Apollo Kafka – consuming and processing real-time data streams.
  • Strong in SQL, Python, and Spark for data manipulation and transformation.
  • Exposure to CI/CD practices (Azure DevOps, Git workflows, build/release pipelines).
  • Understanding of data lake architecture and modern data warehousing principles.
Bonus Points
  • Experience with Delta Lake, Event Hub, or Azure Stream Analytics.
  • Familiarity with infrastructure-as-code tools like Terraform or ARM templates.
  • Exposure to Data Governance, Data Quality frameworks, or metadata management.
  • Understanding of networking, security, and access control in Azure data services.
Certifications
  • Microsoft Certified: Azure Data Engineer Associate.
  • Databricks Certified Associate Developer for Apache Spark.
  • Azure Fundamentals (AZ-900) – optional but helpful.

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