dentsu Austria
dentsu Austria
51 – 200 Employees
EnterpriseMarketingMedia
dentsu Austria is the Austrian arm of the global Dentsu Group, helping organizations address business transformation, marketing, and sustainable growth. Its work combines research, analysis, media expertise, and integrated solutions to help brands navigate changing markets and create meaningful experiences. As part of an international network, dentsu Austria brings together perspectives across marketing, media, and enterprise services to turn complex challenges into practical opportunities for clients, their audiences, and society.

Senior Technical Lead, Azure Data Engineering (Pune, Onsite)

Lead scalable Azure data engineering and database marketing solutions for Merkle clients. Own ETL pipelines, architecture, technical troubleshooting, and delivery with small project teams.

Description

  • Lead development of database marketing solutions using Microsoft SQL Server and Azure, Amazon Redshift, and Google BigQuery
  • Design, build, troubleshoot, and resolve issues in database marketing solutions
  • Upgrade, improve, and optimize technical solutions
  • Implement continuous integration and continuous deployment for business logic changes
  • Engage internal stakeholders and clients to explain technology solutions and clarify business requirements
  • Design and deliver scalable, high-quality data engineering solutions
  • Convert business requirements into technical designs and deliver solutions within agreed timelines
  • Build, optimize, and maintain ETL/ELT pipelines with Azure Data Factory, Databricks, and other enterprise tools
  • Prepare and maintain high-level and low-level design documentation and explain architectural decisions
  • Investigate production problems and resolve them through root-cause analysis
  • Lead and contribute to code reviews
  • Independently complete medium- to complex-level development and data engineering work
  • Work with cross-functional internal teams and external clients
  • Manage or support one to two projects concurrently, generally involving teams of two to three members
  • Use orchestration and scheduling tools such as Tivoli, Tidal, or Stonebranch to support efficient workflow execution
  • Maintain clear, thorough documentation for stakeholders and project teams
  • Mentor colleagues and participate in solution design discussions

Requirements

  • Six to up to ten years of professional experience
  • Bachelor’s, master’s, or equivalent degree
  • Demonstrated expertise with Microsoft Azure, including Synapse, Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Blob Storage, and Azure SQL Database
  • Strong knowledge of data warehousing, data marts, data modeling, data structures, and database design
  • Proficiency in ETL, data ingestion, transformation, and orchestration
  • Advanced SQL and Spark SQL skills
  • Hands-on experience with Snowflake, Azure Synapse as a mandatory technology, Oracle, and relational databases
  • Practical experience with PySpark and Python or UNIX shell scripting
  • Experience with streaming platforms such as Kafka or Kinesis
  • Familiarity with real-time processing frameworks including Spark Streaming or Flink
  • Strong debugging and performance-tuning abilities
  • Capacity to independently deliver mid-level to complex technical work
  • Strong communication and client-facing skills
  • Experience with version control systems such as SVN and project management tools such as JIRA
  • Broad knowledge of relational and non-relational databases
  • Experience with data marketing platforms and campaign management systems
  • Familiarity with SSIS and Informatica alongside Azure Data Factory
  • Knowledge of enterprise workflow schedulers such as Tivoli, Tidal, and Stonebranch
  • Strong grasp of modern development practices and SDLC principles
  • Ability to mentor team members and contribute to solution design discussions
  • Experience as a Technical Lead or in team management, understanding of Generative AI, Azure certification, Snowflake Associate or Core certification, and availability to work 12 PM to 9 PM and/or 2 PM to 11 PM IST
  • Understanding of Generative AI, Azure certification, Snowflake Associate or Core certification, and availability to work 12 PM to 9 PM and/or 2 PM to 11 PM IST
  • Ability to work 12 PM to 9 PM and/or 2 PM to 11 PM IST each day.
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Benefits

  • Permanent employment contract
  • Azure certification
  • Snowflake Associate or Core certification

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