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Proficiency in Python, PySpark Scala, Java, SQL, Airflow, dbt. Utilize programming languages like Java, Pyspark, Python and Open Source RDBMS and NoSQL databases, and Cloud-based data warehousing services such as Redshift and Snowflake.
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Experience with modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake). Familiarity with Continuous Integration and Continuous Delivery systems and tools (Azure DevOps, GitHub.
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Programming languages: Java, Pyspark, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. Skilled in modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake.
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Experience with master data (MDM), metadata, and data governance tools. Expertise in ETL/ELT, SQL, and cloud data integration tools (Azure Data Factory, AWS Glue, Informatica). Our business is guided by our people helping people philosophy which includes our team members.
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Experience in master data (MDM), metadata, and data governance tools (Alation, Erwin, Collibra, Azure Purview). Experience with Continuous Integration and Continuous Delivery systems (Azure DevOps, GitHub.
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Knowledge of cloud technologies (Azure, AWS, GCP). Skill Advancement: Work with the leadership team to develop a personalized training plan to enhance your data engineering skills. Metadata and Data Policy Management: Support and administer the implementation of metadata management and master data policies.
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Collaborative Development: Engage in system analysis, coding, testing, and debugging, in partnership with mentors and senior engineers. In this dynamic role as a Data Engineer, you'll be at the forefront of shaping our data landscape.
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At least 2 years of experience in data engineering. We offer the flexibility of remote work for residents in these locations, allowing you to contribute from the comfort of your own home. Comprehensive foundation in SQL, data modeling, data warehousing, and data analysis.
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Expertise in ETL/ELT, SQL, and cloud data integration tools (Azure Data Factory, AWS Glue, Informatica, etc. Solid experience with cloud technologies (Azure, AWS, GCP). Mentorship and Leadership: Guide and support data engineering teams, enhancing business data processes and systems.
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Coding Mentorship: Review and guide the code of junior developers, fostering a culture of learning and growth. Bachelors degree in Computer Science or a related field, or equivalent experience. While we have a rich history, the future of our company, accelerated by business and technology transformation, is even brighter.
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Here, you'll immerse yourself in a world of data management and governance, learning to design models and use advanced tools. As the nation's largest community credit union, we begin every day focused on delivering superior financial products and services for our 1.3 million members and more than $30 billion in managed assets.
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Additional Contributions: Embrace additional responsibilities as they arise, showcasing your adaptability and growth. Fundamental understanding of Test-Driven Development, including unit, integration, or performance/load testing.
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Policy Implementation: Apply metadata management and master data strategies within data workflows. Skill Development: Assist in developing a training plan for advanced data engineering skills. In this dynamic role as a Senior Data Engineer, youll be at the forefront of shaping and implementing cutting-edge data solutions.
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Your work will not only contribute to system and service designs but also to the architecture, making a significant impact on our business solutions. Technical Roadmap Participation: Be an active voice in discussions shaping the team's technology strategy and vision.
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Supporting Gloo running on Kubernetes, Apigee opdk and saas, Grafana, Prometheus, Cassandra, Postgres, Spring Boot or Java based applications running on Kubernetes, PCF, and Java application servers.
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