Data Engineer
19 hours ago
We are seeking a highly skilled Data Engineer to design, develop, and maintain our data infrastructure. As a Data Engineer, you will be pivotal in driving the creation of efficient data pipelines, integration of diverse data sources, and development of scalable products.
Key Responsibilities:
• Design, develop, and deploy data tables, views, and marts in data warehouses, operational data stores, data lakes, and data virtualization platforms.
• Perform data extraction, cleaning, transformation, and flow, including web scraping as needed.
• Design, build, launch, and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks such as Apache Hadoop, Apache Spark, and Apache Kafka.
• Integrate and collate data silos in a manner that is both scalable and compliant.
• Collaborate with project managers, data architects, business analysts, frontend developers, UX designers, and data analysts to build scalable data-driven products.
• Develop backend APIs and work on databases to support applications.
• Work in an Agile environment that practices Continuous Integration and Delivery.
• Participate in pair programming and code review processes with fellow developers.
Qualifications:
• Proficient in general data cleaning and transformation techniques, including SQL, pandas, and R.
• Experienced in building ETL pipelines using SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), RedShift, Python, AWS Lambda, ECS Container tasks, Eventbridge, and AWS Glue.
• Familiar with database design and various databases, including SQL, PostgreSQL, AWS S3, Athena, MongoDB, Postgres/GIS, MySQL, SQLite, VoltDB, Cassandra, and more.
• Experience in cloud technologies such as AWS, Azure, and Google Cloud Platform (GPC/GCC).
• Experienced in building production-grade data pipelines, ETL/ELT data integration, and familiar with big data frameworks and tools, including Hadoop, Spark, Kafka, RabbitMQ, and more.
• Knowledgeable about system design, data structure, and algorithms.
• Familiar with data modeling, data access, and data storage infrastructure, including Data Mart, Data Lake, Data Virtualization, and Data Warehouse.
• Familiar with REST APIs and web requests/protocols.
• Comfortable in at least one scripting language, such as SQL or Python.
• Proficient in Windows and Linux development environments.
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