Data Engineer for Cloud-Based Analytics
1 month ago
The Role
We are seeking a skilled Data Engineer to join our innovative team at ONYX Insight. As a key member of our analytics and solution development group, you will play a pivotal role in designing, building, and maintaining high-performance data pipelines that power our advanced analytics.
Our ideal candidate will collaborate with engineering, analytics, and data science teams to deploy machine learning models, automate workflows, and ensure our data platforms are secure, scalable, and optimized for performance.
- Data Pipeline Design and Development: Design and develop scalable data pipelines for real-time and batch processing, leveraging AWS cloud platforms and data engineering tools.
- ETL Process Management: Build robust ETL processes to extract, transform, and load data from diverse sources, ensuring data integrity and security.
- Workflow Automation: Automate data ingestion, aggregation, and processing workflows to streamline operations, improve efficiency, and enhance decision-making capabilities.
- Dataset Preparation and Optimization: Prepare and optimize datasets in data lakes and warehouses, making them accessible for analytics and decision-making.
- Machine Learning Model Deployment: Partner with Data Scientists, Analysts, and Engineers to deploy machine learning models into production, ensuring seamless integration with existing systems.
- Data Security and Compliance: Ensure data integrity, security, privacy, and compliance across all data workflows, adhering to industry standards and regulations.
Ideally, you'll have/be:
- AWS Cloud Expertise: Strong expertise in AWS cloud platforms and data engineering tools, including Amazon S3, Redshift, and Glue.
- Data Lake/Warehouse Solutions: Proficiency in building and maintaining data lake/warehouse solutions, such as Apache Hadoop and Spark.
- Advanced SQL Skills: Advanced skills in SQL and relational database design, including query optimization and indexing strategies.
- Data Ingestion and ETL Tools: Experience with data ingestion and ETL tools, including Apache Beam and AWS Glue.
- Programming Languages: Strong programming skills in Python or other object-oriented languages, including proficiency in libraries like Pandas and NumPy.
- Data Pipeline Management: Familiarity with data pipeline and workflow management tools, such as Apache Airflow and AWS Step Functions.
Salary: $120,000 - $160,000 per year, depending on experience and qualifications.
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