Data Architectural Specialist

2 days ago

Mumbai, Maharashtra, India beBeeData Full time ₹ 13,50,000 - ₹ 22,50,000
Senior Data Engineering Expert

We are seeking a highly skilled Senior Data Engineering Expert to join our team. As a key member of our data engineering team, you will play a critical role in designing, developing, and managing data pipelines and transformation frameworks that enable analytics, reporting, and business intelligence capabilities across the enterprise.

Key Responsibilities:

  • 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.

Required Skills and Qualifications:

Must-Have 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.
  • Apache 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.

Nice-to-Have Skills:

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

Preferred 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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