Senior Data Engineer

Ciklum•United States,

50d•Onsite

About The Position

Ciklum is looking for a Senior Data Engineer to join our team full-time in the US. 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. As a Senior Data Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.

Requirements

3+ years of experience coding in SQL, Java, Python, 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 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.
2+ years of experience in cloud data platforms (AWS, Azure, GCP)
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 the 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

Responsibilities

Responsible for the building, deployment, and maintenance of mission-critical analytics solutions that process terabytes of data quickly at big-data scales
Contributes design, code, configurations, manage data ingestion, real-time streaming, batch processing, ETL across multiple data storages.
Performs development, QA, and dev-ops roles as needed to ensure total end-to-end responsibility of solutions.
Responsible for performance tuning of complicated SQL queries and Data flows
Identify gaps and improve 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.
Contribute in the Unit’s activities and community building, participate in conferences, and provide excellence in exercise and best practices.