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Reveille Technologies - Big Data Engineer
Reveille Technologies - Big Data EngineerReveille Technologies • Pune
Reveille Technologies - Big Data Engineer

Reveille Technologies - Big Data Engineer

Reveille Technologies • Pune
30+ days ago
Job description

Description :

We are looking for highly skilled and motivated Big Data Engineers / Leads to join our team and drive the development of our next-generation data platform on Microsoft Azure. The ideal candidate will be an expert in Azure Databricks and have a strong background in big data processing, data warehousing, and modern DevOps practices. We are hiring for three positions across our major offices.

Role & Compensation Details :

Role : Big Data Engineer / Lead

Experience : 4 - 7 Years (3 Open Positions)

Locations : Bangalore | Chennai | Mumbai | Pune | Noida

Key Responsibilities :

Big Data Application Development :

  • Build, deploy, and optimize scalable Big Data applications and pipelines primarily leveraging Azure Databricks.
  • Design and implement robust data processing jobs using Apache Spark with proficiency in either Scala or Python (PySpark).

Data Warehousing & ETL / ELT :

  • Apply strong SQL expertise for complex data querying, analysis, and optimization within cloud data solutions.
  • Demonstrate strong experience in designing and developing ETL / ELT processes, data ingestion patterns, and modern Data Warehousing concepts.
  • Infrastructure & Automation (DevOps Focus) :

  • Work hands-on with infrastructure-as-code tools like Terraform for provisioning and managing Azure resources.
  • Utilize workflow orchestration tools such as Airflow to design, schedule, and monitor complex data workflows.
  • Familiarity with containerization and orchestration technologies like Kubernetes is highly desirable.
  • Implement and manage robust CI / CD pipelines using tools like Git and Jenkins to ensure automated, reliable deployment of data applications.
  • Data Lifecycle Management :

  • Enable and support the complete data lifecycle, including data collection, efficient storage strategies, scalable data modeling, and timely analysis across various operational systems.
  • Code Quality & Performance :

  • Ensure high standards of code quality, security, and performance optimization for all data processing jobs and infrastructure components.
  • Mandatory Skills :

  • Cloud Data Platform : Expert-level proficiency in Azure Databricks.
  • Data Processing : Strong hands-on experience with Apache Spark (using Scala or Python).
  • Database : Advanced proficiency in SQL (including complex queries, stored procedures, and optimization).
  • Preferred Skills :

  • Experience with Infrastructure as Code (e.g., Terraform).
  • Experience with workflow orchestration tools (e.g., Apache Airflow).
  • Familiarity with CI / CD tools (Git, Jenkins).
  • Knowledge of Azure Data Services (e.g., Azure Data Factory, Azure Synapse, Azure Datalake Storage).
  • (ref : hirist.tech)

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