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Would be preferred to have executed end to end implementation/migration of a Data Warehouse and Big Data (Hadoop) project from on prem to GCP (using Google BigQuery, DataFlow, DataProc etc.
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Sound experience in Google Cloud Data Services: Big Query, Data Proc, PubSub, Cloud Functions, Cloud Storage, Dataflow, Composer. Strong knowledge of large-scale search applications and building high volume data pipelines, preferably using PySpark on GCP and It’s native tools such as BigQuery, Airflow, Composer, DataProc, PUB/SUB, DataFlow and Vertex AI.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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We operate multiple geographically disperse data centers, including two of the nation’s largest healthcare data centers – both rated among the top five percent of data centers worldwide by MIPS.
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Big Data Tools: Familiarity with big data processing frameworks (e.g., Apache Spark, Hadoop) Experience with Data Processing: Hands-on experience with Databricks (4+ Years ) related to data cleaning, preprocessing, and feature engineering.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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Job title: Lead Azure Data Engineer / Architect. Expertise in Azure Data Factory (ADF), Azure Synapse Analytics and Azure Data Lake Storage (ADLS). This role is pivotal to the success of our data engineering team, as it involves working with cutting-edge tools and technologies to deliver robust data solutions.
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Our Data Products & Platforms organization is seeking a Governance, Risk & Compliance (GRC) Sr Software Engineer who will be an outstanding addition to our team. This role sits in the Data Products & Platforms organization within DX and as a Sr Software Engineer, you will report into the Sr Manager who oversees data GRC practices.
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Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using Python, SQL and AWS big data technologies such as Glue, EMR, MWAA etc.
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Demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
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Experience with two or more of the following observability tools: AppDynamics, Big Panda, Elastic Search (ELK), Google Cloud Logging, Grafana, Prometheus, Splunk, Thousand Eyes. Primary Skill Ansible, Python, DevOps SRE, Big Panda.
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Implement data integration solutions to ingest, transform and manage large datasets from various sources into Palantir Foundry ensuring data quality, consistency and security throughout the data life cycle.
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Salary: Data Entry Work from Home - Part Time Computer Job. Computer Data Entry Work from Home Part Time Job. Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.
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Required) At least 5-6 years of experience in developing and maintaining data pipelines using Azure Databricks, Azure Data Factory, and Spark. Design, develop, and maintain scalable data pipelines and ETL processes using Azure Databricks, Data Factory, and other Azure services.
$120,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Companion Data Services provides leading IT solutions and managed services. Working knowledge of enterprise data architecture, systems engineering and data communications as applied to the automated storage and retrieval of information, using multiple platforms and protocols with the inherent security risks of each.
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big data jobs Title: data engineer sr Company: Kroger in Irving, TX
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