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Senior Data Engineer

Senior Data Engineer

ITC InfotechBengaluru, India
24 days ago
Job description

Senior Data Engineer - Azure Stack

Experience - 3-12 years

Location : Bangalore, Kolkata, Gurgaon, Pune

We are looking for a highly skilled Senior Data Engineer with deep expertise in Azure Stack to join our growing team. As a Senior Data Engineer, you will be instrumental in designing and developing robust data pipelines, data lakes, and cloud-based solutions to support our business intelligence and analytics initiatives. You will work in a hybrid cloud environment to manage data services, ensuring high scalability, security, and performance for data-driven decision-making.

Key Responsibilities :

  • Data Engineering : Design and implement scalable data pipelines, ETL workflows, and processing frameworks within Azure Stack and hybrid cloud environments.
  • Cloud Architecture : Leverage the capabilities of Azure Stack, Azure Data Factory, Azure Synapse Analytics, and other Azure cloud services to integrate, manage, and optimize enterprise data solutions.
  • Data Integration & Storage : Build and optimize data lakes, data warehouses, and cloud-based storage systems on Azure, integrating structured and unstructured data from multiple sources.
  • Performance Optimization : Continuously improve data pipelines for performance, scalability, and cost-efficiency. Implement automation and monitoring solutions to ensure smooth operation.
  • Cross-Functional Collaboration : Work closely with product managers, data scientists, and business intelligence teams to implement data models, data visualizations, and analytics solutions.
  • Mentorship : Provide mentorship and technical leadership to junior engineers, helping them improve their skills in cloud data technologies, coding standards, and engineering best practices.
  • Cloud Migration : Assist in the migration of on-premises data infrastructure to Azure Stack, working closely with infrastructure teams to ensure a seamless transition.

Required Skills & Qualifications :

  • Experience : 3-12 years of experience in data engineering, with at least 2+ years of experience working specifically with Azure Stack and Azure cloud services in a hybrid environment.
  • Azure Stack Expertise : Proficient in Azure Stack Hub, Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, Azure Databricks, and Azure Blob Storage.
  • Programming Skills : Proficiency in SQL, Python, or similar scripting languages for building data pipelines and processing large datasets.
  • ETL Tools : Experience with building and optimizing ETL workflows using Azure Data Factory, Apache Airflow, or other similar tools.
  • Data Integration : Experience working with data integration tools, including both structured and unstructured data sources, and technologies such as Kafka, Spark, Hadoop, or others.
  • Data Warehousing & Storage : Strong understanding of data warehousing concepts (e.g., star / snowflake schemas) and expertise with Azure Data Lakes and SQL / NoSQL storage solutions.
  • Big Data Technologies : Familiarity with big data technologies like Apache Hadoop, Apache Spark, Databricks, and Kafka is a plus.
  • Soft Skills :

  • Excellent analytical and problem-solving abilities.
  • Strong communication skills to articulate technical details to non-technical stakeholders.
  • Ability to work collaboratively in a distributed team environment.
  • Self-motivated, proactive, and able to work under minimal supervision.
  • Strong attention to detail, ensuring data quality and security.
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