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dentsu

Lead Data Engineer

Reposted 2 Days Ago
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In-Office
5 Locations
Senior level
In-Office
5 Locations
Senior level
The Lead Data Engineer will develop Azure-based data engineering solutions, implement ETL processes, collaborate with stakeholders, and drive innovation in data strategy.
The summary above was generated by AI
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:

Pune

Brand:

Dentsu

Time Type:

Full time

Contract Type:

Permanent

Top Skills

Azure Data Factory
Azure Fabric
Azure Sql Database
Azure Synapse
Data Bricks
Power BI

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