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Hands-on production experience with orchestration systems such as Airflow. Hands-on production environment experience with distributed processing systems such as Spark. The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer.
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At least 3 years of hands-on experience with Oracle Data Integrator (ODI) 12c version. Additionally, you have at least 3 years of hands-on experience with Oracle Data Integrator (ODI) 12c version.
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This role emphasizes a hands-on approach to data engineering within healthcare, focusing on efficient data integration, transformation, and automation using Python and Azure technologies.
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Hands on programming experience in at least one of Scala, Python, PHP, or Shell Scripting, to name a few. and experience with data formats like json, csv, xml. Experience working with Hadoop/Big Data and Distributed Systems.
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What You Will Be Doing Tech Breakdown 70% Data Engineering 20% Data Analytics 10% Machine Learning Daily Responsibilities 80% Hands On 0% Management Duties 20% Team Collaboration The Offer 10% Bonus Stock Options You will receive the following benefits: Medical Insurance Dental Benefits Vision Benefits Paid Time Off (PTO) Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
$145,000 - $175,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design, develop, and unit-test various modules of database product applications primarily on Snowflake but also on Databricks and other data services. 5+ years hands-on experience with Python libraries such as Pandas, flask, Django.
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This is an Architect/Developer role requiring hands-on experience with integrating data via API and Kafka streams, utilizing technologies like Informatica IICS, Snowflake, and Python.
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5+ years of hands-on experience with big data processing frameworks, such as Apache Spark. 5+ years of hands-on experience with data modeling, ETL development, and data integration techniques.
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2-5 years hands-on industry experience in Data Engineering (or equivalent quantitative job title) Familiarity or hands-on experience with generative AI and large language models, understanding their potential impact on machine learning and ad tech innovations.
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Hands-on experience with on-boarding metadata from various sources including SQL Server, Oracle, Azure cloud and others. Hands-on experience with configuration and maintenance of catalog tools such as Alation, Collibra, Informatica or similar.
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Managing data infrastructure on AWS, including capacity planning, cost optimization, and resource allocation. As a Data Engineer, you will collaborate with data scientists, analysts, and other cross-functional teams to ensure the availability, reliability, and performance of data systems.
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Hands-on experience with data platforms and technologies like Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino. Recent hands-on experience with AWS Cloud development, deployment, and monitoring.
$350,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Proven hands-on experience in distributed systems, such as Kafka and Spark. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical.
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3+ years of hands-on experience in GCP with expertise in components such as Dataflow, Big Query, Airflow, GCS. Work with on-prem data sources (Hadoop, SQL Server), understand the data model, business rules behind the data and build data pipelines (with GCP, Informatica) for one or more business verticals.
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Develop EL/ELT/ETL pipelines to make data available in BigQuery analytical data store from disparate batch, streaming data sources for the Business Intelligence and Analytics teams.
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hands on data jobs Title: data engineer in Chicago, IL
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