Ciklum

Lead Big Data Engineer for Ciklum Digital

Job description

Description

On behalf of Ciklum Digital, Ciklum is looking for a Lead Big Data Engineer to join our team on a full-time basis.

You will join a highly motivated team and will be working on a modern solution for our existing client. We are looking for technology experts who want to make an impact on new business by applying best practices and taking ownership

About Client:

The largest fast fashion group in the world, revenue 20Bn+ EUR, operates over 7,200 stores in 93 markets worldwide.The company owns a large number of global brands.

Project description:

Together with the client, we are building a huge data-as-a-service tool to enable the client’s business to access real-time data to manage effectively a group of brands and its analytics to improve customer satisfaction and predict consumer behaviour to provide right in time and right in place goods. Becoming a part of the team, you will be working with top-notch industry experts to create advanced analytics based on terabytes of data.

Responsibilities

  • Lead on projects from a data engineering perspective, working with our business stakeholders to model their data landscape
  • Plan and execute secure, good practice data integration strategies and approaches
  • Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
  • Create and manage data environments in the Azure Cloud
  • Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
  • Ensure compliant handling and management of client data
  • Involvement in end-to-end data management with cutting edge technologies
  • Participate in building Micro services using modern architectures

Requirements

  • 5+ years of experience coding in Java or Python or Scala, with solid CS fundamentals including data structure and algorithm design
  • 5+ years of experience in DWH/ETL design and implementation, strong knowledge of SQL
  • 3+ years contributing to production deployments of large backend data processing and analysis systems as a team lead
  • 2+ years of hands-on implementation experience working with Big Data: PySpark, DataBricks, Kafka, KSQL, KStreams
  • 2+ years of experience in cloud data platforms (Azure is preferable)
  • Knowledge of Snowflake technologies
  • Knowledge of Data Warehousing, design, implementation and optimization
  • Knowledge of Data Quality testing, automation and results visualization
  • Knowledge of BI reports and dashboards design and implementation
  • Experience designing, documenting, and defending designs for key components in large distributed computing systems
  • A consistent track record of delivering exceptionally high-quality software on large, complex, cross-functional projects

Desirable

  • Understanding of cloud infrastructure design and implementation
  • Experience in data science and machine learning
  • Experience in backend development and deployment
  • Experience in CI/CD configuration
  • Good knowledge of data analysis in enterprises

Personal skills

  • Ability to work independently without supervision
  • Ability to handle multiple competing priorities in a fast-paced environment
  • Curious mind and willingness to work with client in consultative manner to find areas to improve
  • Upper-Intermediate English
  • Good analytical skills
  • Good team player, motivated to develop and solve complex tasks
  • Self-motivated, self-disciplined and result-oriented
  • Strong attention to details and accuracy

What's in it for you

  • A Centre of Excellence is ultimately a community that allows you to improve yourself and have fun. Our centres of excellence (CoE) bring together all Ciklumers from across the organization to share best practices, support, advice, industry knowledge and to create a strong community
  • Close cooperation with client
  • Dynamic and challenging tasks
  • Ability to influence project technologies
  • Projects from scratch
  • Team of professionals: learn from colleagues and gain recognition of your skills
  • European management style
  • Continuous self-improvement

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