Senior Big Data Engineer
3 weeks ago
We are seeking an experienced Senior Big Data Engineer to join our team in the US. As a Senior Big Data Engineer, you will play a key role in designing, building, and supporting big data infrastructure and tools. Your primary responsibility will be to architect, build, and operate cloud and on-premises enterprise data infrastructure and tools using cloud-native architecture, ETL/ELT, and data integration. You will also design and build robust, reusable, and scalable data-driven solutions and data pipeline frameworks to automate the ingestion, processing, and delivery of structured and unstructured batch and real-time streaming data.
Key Responsibilities
Some of your key responsibilities will include working collaboratively with other engineers, architects, data scientists, analytics teams, and business product owners in an agile environment. You will also be responsible for building data APIs and data delivery services to support critical operational processes, analytical models, and machine learning applications. Additionally, you will assist in selecting and integrating data-related tools, frameworks, and applications required to expand platform capabilities. You will also ensure that best practices are followed in the management of enterprise data, including master data, reference data, metadata, data quality, and lineage.
Requirements
Experience with Python or Java (Python preferably), building data lakes and cloud data platforms leveraging cloud-native architecture, ETL/ELT, and data integration, and experience with distributed data processing and streaming frameworks and architectures like Apache Spark and Apache Beam. Also, experience with Snowflake, NoSQL database technologies, and containerized microservices. Advance understanding of software development and research tools, attention to detail, and results-oriented skills. Upper-intermediate English language proficiency required. Estimated salary: $120,000 - $180,000 per year depending on experience.
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