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Senior Data Engineer for Ciklum Digital

Ukraine

Big Data & Analytics

Description

On behalf of Ciklum Digital, Ciklum is looking for a Senior Data Engineer to join the UA 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.

Project description:

Tenengroup, the leading e-commerce company in Israel, is looking for a talented Data engineer. Tenengroup is a data driven, End-to-End ecommerce house, with over 30 brands all over the world. By using high-end data tools to leverage the market trends and needs, client gives customers a personalized and unique online shopping experience.

Technology Stack: AWS, Aurora, Tableau, Hadoop, Hive, Athena, Spark, Kafka, Scala, Python

Responsibilities

  • Responsible for the building, deployment, and maintenance of mission critical analytics solutions that process data quickly at big data scales
  • Contributes design, code, configurations, and documentation for components that manage data ingestion, real time streaming, batch processing, data extraction, transformation, and loading across multiple data storages
  • Owns one or more key components of the infrastructure and works to continually improve it, identifying gaps and improving the platform’s quality, robustness, maintainability, and speed
  • Cross-trains other team members on technologies being developed, while also continuously learning new technologies from other team members
  • Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability
  • Performs development, QA, and dev-ops roles as needed to ensure total end to end responsibility of solutions
  • Ensure business continuity by taking part in creating technical documentation as well as end-user documentation
  • Contribute in CoE activities and community building, participate in conferences, provide excellence in exercise and best practices

Requirements

  • 3+ years of experience coding in SQL, and Python or Scala, with solid CS fundamentals including data structure and algorithm design
  • 2+ years contributing to production deployments of large backend data processing and analysis systems
  • 1+ years of hands-on implementation experience of Spark-based technologies
  • 1+ years of hands-on implementation experience working with a combination of the following technologies: Hadoop, Map Reduce, Pig, Hive, Impala, Spark, Kafka, Storm, SQL and NoSQL data warehouses such as Hbase and Cassandra
  • 1+ years of experience in AWS cloud data platforms
  • Knowledge of SQL and MPP databases (e.g. Snowflake, Vertica, Netezza, Greenplum, Aster Data)
  • Knowledge of professional software engineering best practices for the full software
  • 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
  • Knowledge of development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
  • Experience participating in an Agile software development team, e.g. SCRUM
  • 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
  • Demonstrated ability to learn new technologies quickly and independently
  • Ability to handle multiple competing priorities in a fast-paced environment
  • Undergraduate degree in Computer Science or Engineering from a top CS program required. Masters preferred
  • Experience with supporting data scientists and complex statistical use cases highly desirable

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
  • Experience working with ERP systems
  • Experience in API and web-site integrations
  • Good knowledge of data visualization in Tableau would be an advantage

Personal skills

  • Ability to work independently without supervision
  • 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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