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YOUR SKILLS AND EXPERTISEBachelor’s degree in computer science, data science or a related field with five (5) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.STANDOUT QUALIFICATIONS:Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query)Experience partnering with Analytics and Data Science teams in building out production grade GenAI/ML solutions.
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Our growing data teams are looking for a savvy Lead Data Engineer to join and help build and evolve the next generation of Audience & Identity data platform that handles data at scale and uses state-of-the-art technologies to unlock the data's business value.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Experience in working with data classification and protection, server & endpoint security platforms (e.g. AV, encryption, HIPS), enterprise security event log management, OS/platform security standards, vulnerability management, and data loss prevention.
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We are in search of a detail-oriented and experienced Senior Data Engineer to join our dynamic team. What you'll bring:- Proven working experience as a Data Engineer with a minimum of 5 years in the field.
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We are seeking a dynamic and highly skilled Principal Data Engineer to lead these foundational efforts. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
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Job Title: ETL Ab Initio Data Validation Engineer (SDET) Primary skills: Ab Initio, Pyspark, Hive Iceberg on Azure Datalake (ADLS) or Iceberg on Snowflake Database and OS: Oracle, DB2, SQL, Data Warehousing, Linux About the job We are seeking a highly skilled ETL Ab Initio Validation Engineer with expertise in Ab Initio and Snowflake or Azure Datalake to join our dynamic team within our organization.
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NOTE: THIS POSITION IS TO JOIN AS W2 ONLY. Data Engineer with Databricks Location: Remote Duration: 6+ Months Daily Responsibilities: Design, develop, test, deploy, maintain, and improve software applications and services.
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Learn more about what makes us different and how you can thrive as a Senior Data Engineer at MMA National. Data bricks, Microsoft Azure Data Engineer, and/or other cloud certifications.
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Eaton’s Corporate Sector division is currently seeking a Cloud Data Engineer. Strong understanding of cloud-based data solutions such as Azure Data Lake Storage, Snowflake, Redshift, Databricks etc.
$154,000.05 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Cloudera is looking for an experienced software engineer to join the Data Services Platform organization. We are looking for an experienced backend engineer with working experience on Cloud platforms like GCP, AWS, Azure, Openshift and container orchestration platforms like Kubernetes.
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The Sr. Azure Data Engineer will lead the creation of high-value data driven solutions leveraging Cyclotron’s proven implementation methodology and solutions for enterprise projects, as well as contributing to technical pre-sales activities as required.
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THE ROLE:As a key member in the Advanced Data Analytics team, the Data Analyst will work with this and a cross-functional team to develop and execute the data analytics strategy and apply to Oshkosh Corporation products.
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We're looking for a Sr. Data Engineer to help us grow the impact of our team. Title: Sr. Data Engineer. Hands-on production environment experience with distributed processing systems such as Spark Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines.
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Title: Data Engineer. building and maintaining ETL pipelines with large data sets using services such as AWS Glue, EMR, Kinesis or Kafka, CloudWatch; Python development experience with proficiency in Spark or PySpark and in using API; AWS Services such as AWS Lambda, Event Bridge, Step functions, SNS, SQS, S3 and MI models; Knowledge of machine learning, deep learning AMIs and natural language processing (NLP) techniques.
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Title: data engineer Company: Digitive
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