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Experience with master data (MDM), metadata, and data governance tools. Metadata and Data Policy Management: Support and administer the implementation of metadata management and master data policies.
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Experience with modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake). 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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Expertise in ETL/ELT, SQL, and cloud data integration tools (Azure Data Factory, AWS Glue, Informatica). Skill Advancement: Work with the leadership team to develop a personalized training plan to enhance your data engineering skills.
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In this dynamic role as a Data Engineer, you'll be at the forefront of shaping our data landscape. At least 2 years of experience in data engineering. Comprehensive foundation in SQL, data modeling, data warehousing, and data analysis.
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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. Data Solution Implementation: Contribute to the design and execution of prototypes, proofs of concept, and data solutions.
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You won't just be filling a position; you'll be embarking on a journey where your skills in designing data workflows and developing innovative data solutions will be crucial. Demonstrated ability to deliver scalable data solutions using compatible programming languages.
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Technical Integration: Develop and implement technical requirements into our data workflows, collaborating closely with your manager and senior engineers. Ability to oversee data lifecycle management, from ideation to retirement.
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As you collaborate with experienced mentors and senior engineers, your contributions will be pivotal in building enterprise-class data pipelines. Proficiency in Python, PySpark Scala, Java, SQL, Airflow, dbt.
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Familiarity with Continuous Integration and Continuous Delivery systems and tools (Azure DevOps, GitHub). Our business is guided by our people helping people philosophy which includes our team members.
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Knowledge of cloud technologies (Azure, AWS, GCP). Collaborative Development: Engage in system analysis, coding, testing, and debugging, in partnership with mentors and senior engineers. We offer the flexibility of remote work for residents in these locations, allowing you to contribute from the comfort of your own home.
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A minimum of eight years' experience in providing complex consultative services in the following focus areas: information strategy, data architecture, information/data governance, master data management, data quality, data integration.
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Assisting in the strategy and implementation of Master Data Management, Data Governance, Enterprise Data Management, Enterprise Content Management and Knowledge Management. The Data Governance and Data Quality Analyst will specialize in serving EY clients in the areas of Data Strategy, Data Governance, Data Quality, Data Definition and Usage, and Data Management.
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We'll look to you to provide our clients with a unique business perspective on how Data Strategy, Data Governance, Data Quality, Data Definition and Usage, and Data Management can transform and improve their entire organization - starting with key business issues they face.
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Experience in master data (MDM), metadata, and data governance tools (Alation, Erwin, Collibra, Azure Purview). Policy Implementation: Apply metadata management and master data strategies within data workflows.
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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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