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The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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Expertise in Databricks, Apache Spark, and big data technologies. Architect and implement big data processing solutions leveraging Apache Spark for ETL, data transformation, and machine learning workflows.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Architect and design big data storage and analytic solutions on Hadoop-based platform, create custom analytic and data mining algorithms to improve performance. The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
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We are looking for a Big Data Architect / IT Solutions Consultant Master (Min 14 Yrs. Exp) ONSITE (Webcam Interview). This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse) and data pipeline/ETL development tools (including Streamsets, Azure Data Factory.
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We are seeking to hire an Big Data Developer with strong Java development experience or Scala, Spark, SQL, Apache Airflow or Similar or similar Open Source Platform. Experience with some of the big data technologies like Apache Spark, Airflow and Databricks.
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The courses may include Foundations of Data Analytics and Programming, Advanced Excel for Data Analytics, Data Governance, Management and Quality, Data Visualization-Power BI, Data Visualization-Tableau, Data Privacy and Integrity, Data Protection, Descriptive Analytics, Predictive Analytics, Data Complexity, Cloud Analytics, Big Data, various programming courses and concepts involving python, r and ML, and database courses (including MySQL, Microsoft SQL Server and NoSQL alternatives.
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7+ years expertise in big data ecosystem for data integration, data storage, compute framework, analytics, and advanced visualization (i.e., ETL Tools, Streaming Tools, No-SQL data bases, Spark, Airflow, ELT tools like DBT, Reporting Tools, AI/ML Platforms.
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Snowflake, Databricks, RedshiftExperience with delivering large scale enterprise applications using big data tech such as S3, Hadoop, SparkExperience or knowledge of No-SQL - DB’s - Cassandra, MongoDB, Redis, CouchbaseExperience building high performance data models and large distributed cube environments.
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Design scalable patterns and architecture to support both batch and real-time data products & platform using big data technologies such as Hadoop, SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.
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Engage with national Big Brothers Big Sisters staff to understand current contracts and agreements with national partners, focusing on local partner expectations and BBBSLA staff bandwidth.
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Use Big Data technologies such as Kafka, Snowflake and related technologies to store, curate, process and publish datasets for consumption by downstream business users and applications. (2) Migrating data from various sources including Teradata, Oracle, SQL Server, and Salesforce using Azure Data Factory and Azure Databricks onto Snowflake.
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Provide in-depth knowledge of GCP data services (Big Query, Cloud Storage, Dataflow, Looker/Tableau etc.) Extensive experience in data warehousing, data management, and business intelligence with proven expertise in Google Cloud Platform (GCP) and its data services (Big Query, Cloud Storage, Dataflow, etc.
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big data jobs Title: hadoop developer Company: Dice in OK, Nebraska
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