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The relevant infrastructure will include elements such as an enterprise data catalog, data governance (including conventions and standards), data quality, master data management, application integration, data exchange, ETL/ELT, data modeling, and related components.
$165,900 - $223,800 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Maintain detailed documentation of your work and changes to support data quality and data governance requirements. The Core Data & Services for the Data organization within the DEET organization is in search of a Senior Data Engineer.
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Proficiency in design and build of data pipelines for sourcing, staging, publishing data using Databricks in Azure or AWS. Strong ETL development skills and experience with data integration tools.
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Our Data Products & Platforms organization is seeking a Governance, Risk & Compliance (GRC) Sr Software Engineer who will be an outstanding addition to our team. This role sits in the Data Products & Platforms organization within DX and as a Sr Software Engineer, you will report into the Sr Manager who oversees data GRC practices.
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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We are seeking an experienced ETL Testing Engineer with expertise in Big Data and SQL to join our team. Job Title: ETL Testing Engineer with Big Data and SQL.
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You will work closely with product management, data operations, data governance, software engineering, and quality assurance teams. Experience with data governance and data quality frameworks.
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Ensure a Data Steward is assigned, and that Data Governance and Data Privacy guidelines are completed by the team when data is involved. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
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Strong knowledge of and experience with data governance as a practice, including enterprise data management, data lifecycle management, data anonymization & masking, data quality, data lineage, data privacy, data security, meta data management, data analytics and reporting, and artificial intelligence (AI.
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Ensure alignment between ontology models and existing data structures to facilitate data integration and interoperability. Owns the data accuracy, quality & governance for Global Biologics; accountable for supporting reporting, analytics and the user community.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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Collaborate with other peer organizations (e.g., Business Analyst, Data Modeler, QA, technical support, etc.) You understand the challenges of handling data at scale and are always looking for opportunities to leverage open-source tools to accelerate development.
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Identity Federation, SSO, HCM (e.g., SAP, Workday) and IAM Data Integration. Familiarity/experience with managing certificate lifecycle and integration Protocols/Standards such as SAML, SCIM, OAuth2, OIDC, LDAP, FIDO2, Kerberos Knowledge and troubleshooting of networks and network protocols (TCP/IP, DNS, CIDR.
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Familiarity with basic principles of Data Architecture and how technologies like Databricks, Snowflake, dbt and Airflow are combined to deliver solutions at production scale. A proven track record of administration, engineering, and operationalizing the Databricks platform in a production mode at scale for Data Engineering, Data Science or MLOps use cases.
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As we look towards 2023 and beyond, data is a key strategic component across the company - from advanced, real-time machine learning to business intelligence and data governance. Assist in building data governance processes, policies, and procedures.
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big data governance integration jobs Title: big data engineer in Cambridge, MA
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