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Proficiency in a variety of data analysis tools such as Google Analytics, GTM, Looker Studio, Domo, and a familiarity of digital marketing metrics is required. This position is responsible for leveraging expertise in data and analytics to oversee and analyze marketing performance data on the JDA Digital Experience team.
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We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake. 5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake.
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Desired : experience with data pipeline and workflow management (Airflow, Composer). Experience with data lakes and data warehousing solutions ( Spark, Dataflow, BigQuery ). Data Engineer (one day a week in the central London office.
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Ensure all data structures are in strict compliance with FIS and industry standards as well retirement regulations. Evaluate current data architecture and databases to determine needed upgrades and improvements.
$121,380 - $203,900 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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To expedite processing your background check application please send us your name, email address, and phone number to newcontractorsubmissions@gmail.com / Regards: Email Marketing Specialist and request a contractor background check application.
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Planning and Execution : Craft comprehensive go-to-market (GTM) strategies for each client on a quarterly/seasonal basis, incorporating insights from channel experts across organic and paid media, and lifecycle marketing.
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Strong knowledge of data management principles, including data integration, data quality, data governance, master data management, and data architecture. Experience with data visualization and reporting tools, such as Tableau, Power BI, or Spotfire.
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Conduct marketing database queries as well as input data and maintain accuracy of data on an ongoing basis. Join Kimley-Horn’s growing marketing team and get hands-on experience developing strategy, coordinating and writing proposals, collaborating on client strategies, writing thought leadership, and promoting the firm.
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Hands-on with cloud-based data warehousing (Snowflake, Redshift, or Databricks) and SQL. My client is seeking a dynamic Lead Data Engineer with robust data architecture and warehousing skills to lead their Data Engineering team.
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This role takes a full funnel and data-driven approach to marketing, moving target audiences from a state of awareness to a state of advocacy and measuring quantifiable and qualitative results along the way to inform future decisions.
$95,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Acting as a Marketing Automation technical domain expert with functional and business teams for technologies like AWS EMR, Snowflake, Python/PySpark, Informatica, Marketo and Knak. Leading on and offshore development teams to develop solutions for different analytical and operational needs for Marketing Automation functions.
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Required Skills Technical Skills- ,Python, PySpark, Azure Data Lake Store, Azure Monitor, Databricks Workflows, Databricks SQL. Qualifications- Must have strong experience in Python, PySpark, Azure Data Lake Store, Azure Monitor, Databricks Workflows, and Databricks SQL.
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Demonstrated experience designing and deploying various analytical data modeling methodologies (e.g., Star, Snowflake, Kimball, Inmon, Data Vault 2.0) Knowledge of data architecture, data engineering, and ETL principles.
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Principal Data Scientist: Biostatistics will report to the VP, Data Science and will focus on providing strategic input and technical expertise on statistical methodology to support the research and development organization for assigned projects They will participate as active members of a cross-functional team to plan, lead and execute the tasks required to support the clinical development for the assigned programs.
$182,000 - $211,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Analyze and implement data quality rules for Data Lake tables to monitor different data quality dimensions and health of the data including the Informatica tool IDQ. Harvest and capture technical and business metadata for data cataloging using tools including EDC and Axon. Follow and prepare change control process as part of SDLC for production deployment.
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Title: marketing data Company: King Arthur Baking Company
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