Description

Ciklum is looking for a Lead Data Engineer to join our team full-time in Ukraine.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role:

As a Lead Data Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.

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
  • Works directly with business analysts and data scientists to understand and support their use-cases
  • Contribute in the Unit’s activities and community building, participate in conferences, provide excellence in exercise and best practices
  • Help in sales activities, customer meetings and digital services

Requirements

We know that sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit!

  • 5+ years of experience coding in SQL, Java, Python, Scala, with solid CS fundamentals including data structure and algorithm design
  • 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 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
  • 3+ years of experience in cloud data platforms (AWS, Azure, GCP)
  • Experience with Kubernetes
  • Knowledge of SQL and MPP databases (e.g. 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 (PowerBI, Tableau)
  • 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 usecases 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 with Databricks, Snowflake

What's in it for you

  • Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, Mental Health programs, as well as financial and legal consultations
  • Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications
  • Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally
  • Own your schedule – you are the one to decide when to start your working day. Just don’t miss your regular team stand-up
  • Opportunities: we value our specialists and always find the best options for them. Our Internal Mobility Program helps change a project if needed to help you grow, excel professionally and fulfill your potential
  • Global impact: work on large-scale projects that redefine industries with international and fast-growing clients
  • Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events

About us:

Discover the pros of 20-year global experience! Join one of the largest IT companies in Ukraine, awarded as one of the top 10 employers in Ukraine by Forbes.
Boost your skills and make a difference with cutting-edge projects, skilled colleagues and the latest tech stacks.
Ciklum has been recognised as a veteran-friendly business by the Veteran Hub in Ukraine.
We’re committed to creating a welcoming environment for veterans and developing processes that meet their needs. We value the skills and unique perspectives military veterans can bring to our business and are willing to support their transition to civilian life.

Be bold, not bored!

Experiences of tomorrow. Engineered together

Interested already?

We would love to get to know you! Submit your application. Can’t wait to see you at Ciklum.

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