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Advanced knowledge of digital transformation principles and concepts, including agile, scrum, and user experience design as well as data analytics tools such as Python, R, ACL, Power BI etc. CompTIA Data+, Power BI Data Analyst, SAS Certified Data Scientist, Certified Analytics Professional, or other relevant professional designation or advanced degree.
$144,160 - $186,560 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Proficiency in SQL, Python, Scala, or Java. Experience with big data technologies (e.g., Spark, Hadoop, Kafka), MPP databases, and cloud infrastructure. In the role of Senior Data Architect, you will be instrumental in architecting, implementing, and optimizing our data processing and analytics platform based on Databricks for our customer facing Trinity Logistics Platform (TLP.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience with common data languages (e.g., Python, Scala) and data warehouses (e.g., Redshift, BigQuery, Snowflake, Databricks) 1+ Managing a cloud-based data environment that has complex platform integration and orchestration using tools like AWS, Airflow, Talend, RedShift, or similar.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Provides the Data Extraction, Transformation and Loading approaches to support On Premise, Cloud and Hybrid environments using, ETL tools such as Talend,AWS Glue, or FiveTran. 1+ Creating large-scale data engineering pipelines and data-based decision-making tools in a cloud-based architecture.
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The Data Warehouse Architect role involves strategically designing and implementing data warehouses, data marts, and data stores as well as requisite ETL (Extract, Transform, Load) and visualization (reporting) development while ensuring high levels of data availability.
Full-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Ll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful services, to back-end Java based systems using the hottest techniques in Big Data. You.
RemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiarity with big data technologies, such as Amazon Redshift, Google BigQuery or Snowflake. Knowledge of machine learning algorithms and data analysis techniques for optimizing ad targeting and performance.
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Focused on people and grounded in data, our award-winning culture fosters meaningful careers. Our team is made up of over 500 employees globally, and our work for brands like Apple, Athleta, Best Western Hotels & Resorts, Kohler, McDonald’s, Nike, Old Navy, Sephora and Shake Shack runs across 85+ countries and has received top industry recognition from Cannes Lions to Adweek Media Plan of the Year.
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We're hiring a skilled DataBricks Implementation Specialist to design, deploy, and manage DataBricks environments for optimal data processing. Design, deploy, and maintain DataBricks clusters for data processing, analytics, and machine learning.
Full-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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The CENTROID Data Science team develops intelligent solutions to make highly visible and big impact decisions in Network transformation at Walmart. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$90,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Should have in depth understanding on Data Warehousing, Master Data Management (MDM), Data Quality, Data Lineage, Data Modeling, Data Profiling and Data Policy and handled Data Governance programs.
ExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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You must be passionate about data engineering and data quality with a solid background in AWS, Databricks, Python, Trino/Starburst and SQL. Minimum of 5 years of experience in data engineering roles, with a focus on AWS and Databricks.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Strong Knowledge in Big Data Technologies, PySpark, thorough in one or more programming language like Python. 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.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience working with Big Data technologies: Spark, Databricks or other frameworks. The candidate should possess intellectual acumen, with an engineering mindset and an interest in developing enterprise scale solutions using industry recognized cloud platforms, databases, data integration/orchestration tools, and big data technologies.
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Conduct in-depth risk assessments for Big Technology companies to identify potential risks in the areas of content and activity moderation, consumer data protection, competition, policies and other mechanisms to counter harm, responsible product/service design, data governance and protection and trust and safety and develop and execute controls testing plans, assessing the adequacy and effectiveness of internal controls in mitigating identified risks.
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big data jobs Title: big data architect Company: Rackspace Us in Dallas, TX
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