Senior Data Engineering Specialist

2 weeks ago

Cochin, Kerala, India beBeeDataEngineer Full time ₹ 15,00,000 - ₹ 25,00,000
Job Overview

The ideal candidate will play a crucial role in designing, developing and managing data pipelines and transformation frameworks that enable analytics, reporting, and business intelligence capabilities across the enterprise.

Key to this position is hands-on experience with Microsoft Azure data ecosystem, collaborating closely with data architects, platform engineers and DevOps teams to build scalable, resilient and efficient data engineering solutions using modern Azure tools and best practices.

Responsibilities:
  • Design and Build Scalable ETL/ELT Pipelines
  • 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.
  • Monitor, troubleshoot and optimize data workflows for performance, cost-efficiency and reliability.
  • Support data quality checks, logging, alerting and observability mechanisms for production workloads.
Requirements:

● 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.

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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