Lead Data Engineer

2 Hours ago • 5 Years +

Job Summary

Job Description

The BI Data Engineer is a key role within the Enterprise Data team. This role involves delivering leading-edge business analytics using cutting-edge BI tools, such as cloud-based databases, and visualization tools. Key responsibilities include building enterprise data engineering and integration solutions using Azure, developing ETL routines, evaluating emerging technologies, and collaborating with stakeholders to translate business objectives into technical solutions. The role also involves working with DevOps teams for smooth deployment of solutions, understanding data governance, and driving innovation in data strategy.
Must have:
  • Expertise in the Azure platform including Azure Data Factory, Azure SQL Database, and Azure Synapse.
  • 5+ years of experience in database development using SQL.
  • 5+ Years integration and data engineering experience.
  • 5+ years experience using Azure SQL DB, ADF and Azure Synapse.
  • Comprehensive understanding of data modelling.
Good to have:
  • Exposure to Data bricks and lakehouse arcchitect & technologies
  • Experience in machine learning and AI services in Azure.
  • Relevant certifications in data engineering, machine learning, AI.
  • Experience in Cloud based data integration tools like Azure Data Factory.
  • Experience in Azure Dev Ops or JIRA.
  • Experience working with finance data.
  • Familiarity with agile development techniques and objectives

Job Details

The BI Data Engineer is a key role within the Enterprise Data team. We are looking for expert Azure data engineer with deep Data engineering, ADF Integration and database development experience. This is a unique opportunity to be involved in delivering leading-edge business analytics using the latest and greatest cutting-edge BI tools, such as cloud-based databases, self-service analytics and leading visualisation tools enabling the company’s aim to become a fully digital organisation.

Job Description:

Key Responsibilities:

  • Build Enterprise data engineering and Integration solutions using the latest Azure platform, Azure Data Factory, Azure SQL Database, Azure Synapse and Azure Fabric
  • Development of enterprise ETL and integration routines using ADF
  • Evaluate emerging Data enginnering technologies, standards and capabilities
  • Partner with business stakeholder, product managers, and data scientists to understand business objectives and translate them into technical solutions.
  • Work with DevOps, engineering, and operations teams to implement CI/CD pipelines and ensure smooth deployment of data engiinering solutions

Required Skills and Experience

Technical Expertise:

  • Expertise in the Azure platform including Azure Data Factory, Azure SQL Database, Azure Synapse and Azure Fabric
  • Exposure to Data bricks and lakehouse arcchitect & technologies
  • Extensive knowledge of data modeling, ETL processes and data warehouse design principles.
  • Experienc in machine learning and AI services in Azure.

Professional Experience:

  • 5+ years of experience in database development using SQL
  • 5+ Years integration and data engineering experience
  • 5+ years experience using Azure SQL DB, ADF and Azure Synapse
  • 2+ Years experience using Power BI
  • Comprehensive understanding of data modelling
  • Relevant certifications in data engineering, machine learning, AI.

Key Competencies:

  • Expertise in data engineering and database development.
  • Familiarity with the Microsoft Fabric technologies including One Lake, Lakehouse and Data Factory
  • Strong understanding of data governance, compliance, and security frameworks.
  • Proven ability to drive innovation in data strategy and cloud solutions.
  • A deep understanding of business intelligence workflows and the ability to align technical solutions
  • Strong database design skills, including an understanding of both normalised form and dimensional form databases.
  • In-depth knowledge and experience of data-warehousing strategies and techniques e.g., Kimball Data warehousing
  • Experience in Cloud based data integration tools like Azure Data Factory
  • Experience in Azure Dev Ops or JIRA is a plus
  • Experience working with finance data is highly desirable
  • Familiarity with agile development techniques and objectives

Location:

DGS India - Mumbai - Thane Ashar IT Park

Brand:

Dentsu

Time Type:

Full time

Contract Type:

Permanent

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About The Company

For over 120 years, innovation has been a core tenet of our offering – exploring new ways to reach, engage and nurture relationships with audiences. Together we drive a multiplier effect for clients at a global scale, through the development of Integrated Growth Solutions that are underpinned by our promise to clients: innovating to impact. Read MoreBe a force for good. Sustainability is a vital part of our business and an important area of focus for our clients. We’re leading the way – helping to build a more sustainable planet. Dream loud. In this moment of transformation, we need our people to be fearless, embracing change and ambiguity, driven by the love for their work and excitement for the future. Team without limits. We create opportunities for connection and collaboration between our colleagues and clients, building a sense of belonging and having some fun along the way.

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