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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. Senior Data Engineer.
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5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake. Utilize tools like Airflow for workflow management and Kubernetes for container orchestration to ensure seamless deployment, scaling, and management of data processing applications.
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Senior Software Engineer II - Data , you design, implement, and maintain software systems that accomplish a given goal. Senior Software Engineer II - Data. Advanced experience in cloud data processing products, including but not limited to Airflow, Snowflake, etc.
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The Senior Data Engineer must have a thorough knowledge of the Microsoft Big Data solutions. The Senior Data Engineer is a key member of the AI & Analytics team, providing domain expertise and leadership to deliver data-related products, features, and functionality that serves business and technical leaders.
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We are looking for a Senior Data Engineer to join our Philadelphia-based WiFi Engineer team. This is a Senior Engineer (Engineer 4) role, which requires 7-10 years of relevant experience.
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This Engineer will have a strong Microsoft and Azure data background, defining high volume data processing pipelines in a multi-tenant environment, verifying data integrity and curating data for consumption by data warehouse, third-party data analytics tools and machine learning models.
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The Senior Data Engineer will be responsible for creating and maintaining data pipelines between Google BigQuery and vended or UCR hosted sources in support of a campus wide data warehouse initiative.
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Title: Senior Data Engineer. Databricks Certified Developer or Databricks Certified Data Engineer certification. Proven experience as a Data Engineer with a focus on Databricks.
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As a Sr Data Engineer, you will be a domain expert in business intelligence tools, collaborating with teams on standard methodologies and own administration tasks such setting user provisioning, handling security models, and performing upgrades.
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As a Senior Cloud Data Engineer, you will be responsible for designing, building, and maintaining our cloud-based data infrastructure. Your expertise in Apache Spark (Scala), Apache Airflow, AWS Glue, Python, Kubernetes, and Oracle will be crucial in ensuring efficient data processing, storage, and retrieval.
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Experience with other Data platforms like DBT, Snowflake, DeltaLake, etc. 3+ years of experience working on Spark (RDDs / Data Frames / Dataset API) using Scala/Python to build and maintain complex ETL pipelines.
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As a Senior Data Engineer, you will work within the Informatics team and contribute to Tendo's strategic data engineering solutions by ingesting, transforming, and warehousing healthcare-related data from various sources.
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As a Senior Data Engineer at Octo, you will drive interactions with government stakeholders and teaming partners to gather requirements and propose analytic solutions. Proven experience as a Data Engineer with a focus on Microsoft Azure technologies.
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We are looking for a Senior Data Engineer , You! Nice to have: streaming (Kafka) and batch based data sources. You hold a Bachelors or Masters degree in Computer Science, Data Science, Mathematics or equivalent Engineering discipline.
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Prior experience as a data Engineer, software engineer, or similar technical data professional. Design, develop, and maintain scalable and reliable data pipelines using tools such as Airflow, Python, SQL, and Databricks DLT.
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Title: senior data engineer Company: Sharp Intellects
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