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6 Days ago

Data Engineer Team Lead

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Chennai, Tamil Nadu, India
Information Technology
Full-Time
MRI Software

Overview

About The Role

MRI Software is seeking a Data Engineering Leader to design, build, and manage data integration solutions. This role requires expertise in Azure Data Factory and Azure Synapse analytics along with data warehousing. The ideal candidate will be responsible for leading technical implementations, mentoring junior developers, working with global teams, and engaging with customers and stakeholders to drive seamless and scalable data integration.

Key Responsibilities

  • Lead and mentor a team of data engineers.
  • Design and implement Azure Synapse Analytics solutions for data processing and reporting.
  • Optimize ETL pipelines, SQL pools, and Synapse Spark workloads.
  • Ensure data quality, security, and governance best practices.
  • Collaborate with business stakeholders to develop data-driven solutions.

Requirements

  • 8 -13 years of experience in Data Engineering, BI, or Cloud Analytics.
  • Expertise in Azure Synapse, Data Factory, SQL, and ETL processes.
  • Strong leadership, problem-solving, and stakeholder management skills.
  • Knowledge of Power BI, Python, or Spark is a plus.
  • Deep knowledge of Data Modelling techniques, Design and development of ETL Pipelines, Azure Resources Cost Management.
  • Proficient in writing complex SQL queries, Best Authorization and security practices for Azure components.
  • Knowledge and experience in Master Data / metadata management: Data Governance, Data Quality, Data Catalog, Data Security etc.
  • Ability to manage a complex and rapidly evolving business and actively lead, develop and support team members
  • You'll be a true Agile practitioner and advocate.
  • You are expected to be highly dynamic in your approach, adapting to constant changes in risks and forecasts.
  • Experience in change management, change implementation, and delivering at a pace.
  • Thorough understanding of data warehouse architecture, principles, and best practices.
  • Expertise in designing star and snowflake schemas, identifying facts and dimensions, and selecting appropriate granularity levels.
  • Ensure data integrity within the dimensional model by validating data and identifying inconsistencies. Work closely with Product Owners and data engineers to translate business needs into effective dimensional models.
  • Strong SQL skills to query, manipulate, and load data into the dimensional model. Extract, clean, and transform raw data from various sources into a structured format suitable for dimensional modelling.
  • Other desirable skills: Python, real-time data streaming frameworks, AI and Machine Learning data pipelines
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