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Extensive hands-on experience implementing Lakehouse architecture using Databricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog. Extensive hands-on experience implementing serverless real-time/near real-time architecture using Cloud native services (i.e., Azure, AWS or GCP Tech Stack), and Spark technologies (e.g., Spark Streaming, Spark ML.
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Hands on experience of ETL tools like Informatica and SSIS is preferredExperience with Complex Data Parsing (Big Data Parser) a must. Should have worked on XML, JSON and other custom Complex Data Parsing formatsNatural Language Processing (NLP) skills Good knowledge of Python libraries like Pandas, NumPy, scikit-learn etc.
$158,000Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Hands on experience with cloud services for data storage and processing, including but not limited to Databricks, Azure SQL Database, Google Cloud Spanner and BigQuery. At least 3 capacity building workshops on data science and best data engineering practices are conducted within the Health and HIV team.
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Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
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Infrastructure Design: Hands-on experience with infrastructure design and construction, including relay racks, data cabinets, and cable support structures. Hands-On Experience: Skilled in DC power installation, fiber optic cable installation, termination, and testing.
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Hands-on experience with GCP tools and technologies, such as Vertex AI, BigQuery, Dataflow, Cloud Storage, and Cloud Functions. Stay updated on the latest developments and trends in data science, machine learning, and GCP, and share knowledge and insights with the team.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Hands-on knowledge of cloud-based data warehouse solutions like Azure & Snowflake. Experience with Azure Data lake store, Blob Storage, VMs, Data Factory, SQL Data Warehouse, Azure Databricks, HDInsight, etc.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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3+ years of experience in designing and building ETL pipelines to process data at scale 3+ years of hands-on experience with AWS services like S3, EC2, ECS, IAM, CloudWatch, Lambda, and other AWS services 3+ years of experience with CI/CD tools such as Jenkins or AWS CodeBuild, Terraform, etc.
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Hands-on experience applying descriptive statistics, machine learning, predictive modeling, GenAI to solve challenging business problems. WE FOCUS ON THE ESSENTIALS. From the perfect crewneck sweater to hotel quality sheets, we're all about high quality essentials that bring enjoyment to daily life.
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Hands-on architecture of real time REST APIs or other solutions for streaming data from Graph using Spark. Hands-on architecture/development of ETL pipelines using our internal framework written in Java.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Knowledge of Actimize data model and critical data elements (CDEs), coupled with hands-on experience in data mapping and extract, transform, load (ETL) activities for aligning an organization's data with vendor data models.
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Hands-on experience in predictive modeling and data science using Python. Experience designing and developing reusable Python API packages to be consumed by other teams working on data science projects.
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6 years of hands on ETL experience with Informatica and/or Microsoft SSIS. Maintain hands-on technical and subject matter expertise in certain technologies or solutions advising clients and team members on these technologies/solutions.
$229,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Hands-on experience with cloud platforms (AWS, Azure, GCP) and related networking services. Design, deploy, and manage advanced network solutions in both on-premises and cloud environments (AWS, Azure, GCP.
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Technical/Functional Skills Scala Spark, Python, Big Data, Kafka, AWS, Oracle SQL, Hive SQL, Databricks, and Jenkins, Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
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hands on jobs Title: data in Philadelphia, ID, Maine
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