Senior Data Engineer

Job Description

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

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