Senior Data Engineering Lead

il y a 2 semaines

Suresnes, Île-de-France Qlik Temps plein
Unlock the Power of Data Engineering

As a Senior Data Engineering Lead at Qlik, you will be at the forefront of empowering businesses with cutting-edge data integration, data quality, and data governance technology. With a focus on Talend technology, you will drive meaningful outcomes for our most strategic customers, shaping the future of data engineering.

Key Responsibilities:
  • Own the customer relationship from a technical perspective, becoming a trusted advisor for the implementation and ongoing adoption of Qlik Talend Data Integration.
  • Work at the bleeding edge of data technology, solving significant data challenges and creating impactful outcomes.
  • Help customers fully utilize their subscriptions, ensuring rapid Time-To-Value and unlocking the full potential of our software.
  • Research, investigate, and recommend solutions to data and business challenges, taking technical ownership to drive resolution.
Requirements:
  • Minimum of 6 years in a data engineering field, managing multiple customers and projects.
  • Proficiency with ETL/ELT and Data Quality technologies, especially Talend Data Fabric.
  • Knowledge of databases, data lakes, NoSQL technologies and data replication concepts.
  • Experience with RESTful APIs, streaming technologies, and big data solutions.
  • Experience in Java development, scripting languages, and DevOps technologies.
  • Expertise in designing and deploying complex data solutions for cloud providers, particularly for Azure or AWS, with an understanding of container technologies.
  • Familiarity with Windows & Linux Servers, networking, and troubleshooting strategies.
  • Abilities in SSO-related software and security technologies.
  • Business-level English.

We offer a dynamic, customer-centric work environment with genuine career progression pathways and mentoring programs. Apply now and help change how the world transforms complex data landscapes into actionable insights and turns complex data challenges into new opportunities.

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