Data Engineer

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Ciklum

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Artificial Intelligence • B2B • Enterprise

Ciklum is a global digital engineering and AI-enabled product and platform services company that helps enterprises design, build, and scale AI-infused software, cloud, data, and automation solutions. It combines UX and product design with engineering, DevOps, data engineering, responsible AI, and edge/IoT capabilities to move pilots into production and deliver enterprise-ready outcomes across industries such as banking, retail, healthcare, hi-tech, automotive, and travel. Ciklum emphasizes platform-agnostic, scalable solutions—covering AI incubators, conversational AI, agentic automation, cloud and edge services, XR/AR/VR, and digital assurance—focused on transforming workflows and customer experiences for B2B enterprise clients.

1001 - 5000 employees

Founded 2002

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

📋 Description

• Responsible for the building, deployment, and maintenance of mission-critical analytics solutions that process data quickly at big-data scales • Contribute design, code, configurations, and documentation for components that manage data ingestion, real-time streaming, batch processing, and ETL across multiple data storages • Own one or more key components of the infrastructure and work to continually improve them, identifying gaps and enhancing the platform’s quality, robustness, maintainability, and speed • Cross-train other team members on technologies being developed, while also continuously learning new technologies from other team members • Interact with engineering teams to ensure that solutions meet customer requirements regarding functionality, performance, availability, scalability, and reliability • Perform development, QA, and DevOps roles as needed to ensure total end-to-end responsibility of solutions • Work directly with business analysts and data scientists to understand and support their use cases • Contribute to the unit’s activities and community building, participate in conferences, and provide excellence in exercises and best practices • Support sales activities, customer meetings, and digital services

🎯 Requirements

• 5+ years of experience coding in SQL, C#, Python, with solid CS fundamentals including data structures 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 with a combination of the following technologies: Hadoop, MapReduce, Pig, Hive, Impala, Spark, Kafka, Storm, SQL and NoSQL data warehouses such as HBase and Cassandra • 3+ years of experience with cloud data platforms (Azure, AWS, GCP) • Knowledge of SQL and MPP databases (Vertica, Netezza, Greenplum, Aster Data) • Knowledge of data warehousing, design, implementation, and optimization • Knowledge of data quality testing, automation, and results visualization • Experience with Databricks and Snowflake • Knowledge of BI reports and dashboards design and implementation (Power BI, Tableau) • Knowledge of development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations • Experience working in an Agile software development team (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, Master’s preferred • Experience supporting data scientists and complex statistical use cases highly desirable

🏖️ Benefits

• Strong community: Work alongside top professionals in a friendly, open-door environment • Growth focus: Take on large-scale projects with a global impact and expand your expertise • Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications • Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies • Flexibility: Enjoy radical flexibility – work remotely or from an office, your choice • Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations