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Senior Data Engineer for Ciklum Digital

Ukraine Remote

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.

Tech stack: Azure, Data Lake, Azure Functions, Azure Eventhub, Azure SQL database

Project description:

At present, the main project’s goals are developing a new architecture designed for streaming near real time data based on the Azure environment and maintaining an existing Confluent Cloud Kafka and Kubernetes (AKS) infrastructure. The team consists of a single Senior Data Engineer and two Senior DevOps. The Board being utilized is Kanban which in combination with Scrum framework ceremonies helps the project with usability, visibility as well as continuous delivery

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 as well as basic QA, and dev-ops roles as needed to ensure total end to end responsibility of solutions
  • 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 also in prioritized order, Python 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 experience in Azure data platforms: Azure Data Lake, Azure DevOps, Azure Functions, Azure Eventhub
  • Knowledge of any SQL and MPP databases (e.g. Azure SQL DWH, PDW, Oracle Exadata, 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. KANBAN, 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

  • Programming experience in C#, Java
  • Kafka/KSQLdb/KStream
  • Azure Synapse
  • Azure SQL DB
  • Azure Databricks
  • 1+ years of hands-on implementation experience working with a combination of any of the following technologies: Hadoop, Map Reduce, Pig, Hive, Impala, Spark, Kafka, Storm, SQL data warehouses and NoSQL data warehouses (such as Hbase and Cassandra)
  • 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

  • Curious mind and willingness to work with client in consultative manner to find areas to improve
  • Upper-Intermediate or Advanced 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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