Senior Azure Data Lake Developer

Posted 5 Days Ago
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Praha, Hlavní město Praha
5-7 Years Experience
Artificial Intelligence • Cloud • Information Technology • Software
The Role
Seeking a talented Senior Azure Data Lake Developer with 5+ years of experience to design, build, and maintain data lake solutions on the Azure platform. Responsibilities include developing ETL processes, optimizing data lake performance, implementing data governance, and staying current with industry trends.
Summary Generated by Built In

We are seeking a talented Senior Azure Data Lake Developer to join our team. The ideal candidate will have 4+ years of hands-on experience with Azure Data Lake technologies and a strong background in data engineering and analytics. As an Azure Data Lake Developer, you will play a key role in designing, building, and maintaining data lake solutions to support our stakeholder's evolving business needs.

Responsibilities:

  • Design, develop, and implement scalable and robust data lake solutions on the Azure platform.

  • Collaborate with cross-functional teams to gather requirements and design data lake architectures that meet business objectives.

  • Develop and maintain ETL processes to ingest, transform, and load data from various sources into the data lake.

  • Optimize data lake performance and troubleshoot issues as they arise.

  • Implement data governance and security best practices to ensure data integrity and compliance with regulatory requirements.

  • Develop and maintain documentation, including data dictionaries, data flow diagrams, and technical specifications.

  • Stay current with industry trends and emerging technologies in data lake management and analytics.

Requirements:

  • 4+ years of hands-on experience with Azure Data Lake technologies, including Azure Data Lake Storage, Azure Data Factory, Azure Synapse and Azure Data Lake Analytics.

  • Strong in SQL.

  • Excellent problem-solving skills and attention to detail.

  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.

  • Fluent in English.

Nice to have:

  • Strong understanding of data modelling concepts and experience with data warehousing techniques.

  • Proficiency in programming languages such as Python, or Scala.

  • Experience working with big data technologies such as Hadoop, Spark, or Data bricks is a plus.

  • Bachelor's degree in Computer Science, Engineering, or a related field.

You can look forward to: 

  • Flexible working schedule (no core hours)

  • Learning and career growth opportunities

  • 25 days of paid time off

  • 3 Sick Days

  • 4 days of paid Volunteering Leave per year to get involved in your local community or in a cause that matters to you

  • Hybrid work environment, with home-office allowance

  • Meal allowance

  • Pension Contribution

  • Life & Disability Insurance

  • Paid Sickness leave

  • A team of passionate professionals who are experts in their fields

  • Events for employees to learn, celebrate and socialize (training sessions, hackathons, parties, sports events, board game gatherings, BBQs) and much more

Top Skills

Azure Data Lake
Python
Scala
SQL
The Company
Atlanta, GA
1,154 Employees
On-site Workplace
Year Founded: 2007

What We Do

Tricentis is the global leader in enterprise continuous testing, widely credited for reinventing software testing for DevOps, cloud, and enterprise applications. The Tricentis AI-powered, continuous testing platform provides a new and fundamentally different way to perform software testing. An approach that’s totally automated, fully codeless, and intelligently driven by AI. It addresses both agile development and complex enterprise apps, enabling enterprises to accelerate their digital transformation by dramatically increasing software release speed, reducing costs, and improving software quality. Tricentis has been widely recognized as the leader by all major industry analysts, including being named the leader in Gartner’s Magic Quadrant five years in a row. Tricentis has more than 1,800 customers, including the largest brands in the world, such as McKesson, Accenture, Nationwide Insurance, Allianz, Telstra, Moet-Hennessy-Louis Vuitton, and Vodafone.

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