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We’re looking for an experienced Data Engineer to join our growing team focused on building, supporting and enhancing the Oracle Hardware Division’s (OHD) big data and analytics platform.
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As a Cloud Data Architect, this role will be instrumental in enhancing and supporting our Enterprise Cloud Data Warehouse currently on Snowflake. The ideal candidate will have a strong background in data architecture, experience with Snowflake Cloud Data Warehouse, and proficiency in ETL processes.
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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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A Data Engineer in Cognizant's AIA (AI & Analytics) practice brings relevant context to data for business and IT for intelligent systems and critical decisions. Data Engineers will be deployed to these cities: Austin, TX; Dallas, TX; Bentonville, AR; Charlotte, NC; Cincinnati, OH; Columbus, OH; Hartford, CT; Juno Beach, FL; Mountain View, CA; Basking Ridge, NJ; Mt Laurel, NJ; New York, NY; Oakland, CA; Owing Mills, MD; Pleasanton, TX; Portland, OR; Richmond, VA; St. Louis, MO; Santa Clara, CA; Seattle, WA where you will work alongside other experienced Cognizant associates delivering technology solutions.
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Preferably, relevant certifications in data architecture and related technologies (CDMP, TOGAF, GCP Professional Cloud Architect, AWS Certified Solutions Architect, Azure Solutions Architect, Snowflake SnowPro Core Certification, etc.
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We are seeking a Senior Data Analyst to help develop MLT’s insights on advancing racial equity and socioeconomic mobility. Bachelors in mathematics, statistics, data science, or social science.
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Government and Public Sector - AI and Data - Data Security Engineer - Senior Consultant EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
$96,200 - $158,900 a yearExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Eclaro is looking for a Data Engineer for our client in McLean, VA. Designs, modifies, develops, and implements solutions for ingesting, provisioning and securing data in the Lake (S3), Warehouse (Redshift) and Marts (Redshift and MySQL) using Scala, Apache Spark, Hive, Apache Pig, MapReduce, AWS Data Pipeline, AWS Glue, AWS EMR and Apache Kafka.
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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As a Senior Data Engineer, you'll play a crucial role in transforming healthcare data into actionable insights that empower clinicians, researchers, and administrators to deliver better care.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. What Data Science contributes to Cardinal Health.
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Joining as Senior Business/Data Analyst, you will be responsible for building and maintaining the sustainable, scalable products and capabilities that support our advisors to deliver world-class services for their investors.
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LLM, RAG, Data engineer, Python, Pyspark, Machine learning, Gen AI, AI/ML, Vector database, Databricks, Snowflake, Education: Bachelor’s degree in engineering, Computer Science or a related field; Master’s degree is a plus.
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We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities. Proficiency in complex data extraction or processing using Python, SQL, Snowflake.
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Experience with data warehouses: Snowflake, BigQuery, RedShift. You will be the foremost contributor providing data operations leadership to translate model outputs into value for our customers and helping to build a growing data organization.
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Title: data engineer Company: Simple Solutions
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