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The ideal candidate will have a strong background in data engineering, with specific expertise in Power BI, SQL, Python, and Databricks. Proficiency in Databricks, with hands-on experience in developing data models and working with notebooks in SQL and Python.
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5+ years of data engineering, data pipeline development, and ETL experience using Python, SQL, and databricks. Using Python/ Pyspark in databricks, build and write complex scripts to transform ingested data to meet the business requirements.
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Proficiency in Python, Scala, or SQL for data manipulation in DataBricks. We're hiring a skilled DataBricks Implementation Specialist to design, deploy, and manage DataBricks environments for optimal data processing.
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Role name: Analyst Role Description: Job Duties:§ Perform hands-on validations and reviews, write quality reports, data strategy, including data governance and data quality to empower the Financial Risk Management (FRM) area.
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O9 Solutions is looking for an experienced, talented, and motivated Lead Data Scientist to come join our global team in North Ameria or EMEA. As part of this Data Science team, you will be involved in the end-to-end delivery of our supply chain planning products and building advanced forecasting models with Predictive Analytics, Machine Learning and AI with algorithms such as R, and Python.
$105,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Total 10+ years of experience with 3 plus years of experience in data engineering/ETL ecosystems with Palantir Foundry , Python , PySpark and Java. Our client is looking for an PALANTIR - Senior Data Engineer with a Long-Term Contract in Dallas, TX (Onsite) below is the detailed requirement.
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Experience to include working on Azure Data Factory (ADF), Oracle, SQL server, Azure Databricks, Azure Synapse Analytics, Data Lake Storage, Azure PaaS services, SSIS packages, Azure Cosmos DB (SQL API), Python, Spark applications, Azure SQL, SQL queries, Azure Monitor and Alert services, GIT Support, ARM Templates.
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Design and Implement loosely coupled microservices that are API-driven using Python,Django,and gRPC with protocol buffers, as well as event-driven microservices using Kafka and Apache spark for backend data processing.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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Technical Skills: Proficiency in SQL, database platforms (e.g., MySQL, Oracle, SQL Server), data warehousing, ETL processes, data modeling tools, and familiarity with cloud services (AWS, Azure, Google Cloud), big data technologies (Hadoop, Spark), and data pipeline tools (Apache Kafka, NiFi.
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Strong skills in Big Data technologies (Hadoop, Spark, Hive) and AWS services (S3, EMR, Lambda, Redshift, CloudFormation). Proficiency in Python, Java, Pyspark, Airflow, and familiarity with real-time data streaming technologies.
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Big data technologies/services expertise (Delta Lake, Lakehouse, Medallion, Spark, Python, Kinesis, S3, Glue, EMR, Airflow, Step Functions, Redshift, Athena, Lambda, ML) AWS preferred.
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Strong Statistical data analysis and data preparation/automation knowledge with SQL, JMP, SAS, Alteryx/DataIku, Tableau, and/or Python. Lead data driven predictive techniques/analysis to ensure quality before product manufacturing.
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Any knowledge of the Palantir Foundry Platform will be a big plus. Job Title : Data Engineer (Palantir) Hands-on experience in Palantir & PySpark to build data pipes in AWS environments.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Currently, we are looking for entry-level software programmers, Java Full Stack developers, Python/Java developers, Data Analysts, Data Scientists, and Machine Learning engineers for full-time positions with clients.
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