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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Experience with cloud data services such as Redshift, Relational database services (RDS), Snowflake and Databricks. Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform.
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Design & implementation of AWS cloud infrastructure using best practices and industry standards by working closely with internal & external stakeholders like Information Security, Cloud Infrastructure, Data Engineering teams, etc.
ExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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We’re looking for a Data Engineer to help us maintain the foundation of our data warehouse and create an opinionated structure to our data model that can set the standard for our embedded analysts to expand.
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Strong background in data engineering, with hands-on experience in designing, building, and optimizing cloud-based data solutions. Chance to work alongside top talent and industry experts in the field of cloud data engineering.
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As the Head of Data Engineering, you will play a crucial role in building and maintaining data pipelines, managing our data warehouse, and supporting the development of core data models used by reporting analysts.
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Talascend is currently seeking an Azure Cloud Data Engineer for a fully remote contract opportunity. As a Data Engineer, you will translate business requirements to data engineering solutions to support an Enterprise-scale Microsoft Azure-based data analytics and reporting platform.
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As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting. 2+ years of professional data engineering experience.
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3 years of experience building cloud scalable and high-performance data lake / data warehouse solutions using AWS products - S3, Athena, Glue, and EMR. Experience with binary data serialization formats such as Parquet.
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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. Designing and developing large scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM.
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR. 10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc.
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Certifications in cloud services relevant to the job (e.g., AWS Certified Solutions Architect, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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You have 15+ Years of IT experience, with 10+ years of experience as a Data Architect, data engineer or other data professional. Work with an agile team to deliver and evolve data engineering & services.
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Expertise with at least one major cloud data platform (Azure, AWS, Google Cloud) with extensive application in data engineering projects. Big Data certifications (e.g., Cloudera Certified Professional (CCP): Data Engineer, Databricks Certified Professional Data Scientist.
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engineering data science engineer cloud jobs Title: warehouse Company: Dice in New York, NY
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