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Skills: Name Required Experience Bachelor's degree Yes CA7 mainframe Yes 6 + Years DSP (Data Streaming Platform) - Kafka Confluent Yes 6 + Years Hadoop Big Data Engineer with PySpark, HQL, Python skills Yes 6 + Years Hadoop Platform utilities - Hive,Oozie, Yarn, Impala, HDFS, Hbase- Hue, Beeline Yes 6 + Years Python and Shell Programming (PySpark) - Python 2.7, 3.0 Yes 6 + Years.
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The Big Data Engineer will be responsible for interpreting the requirements of various Big Data Analytic Use Cases and Scenarios and driving the design and implementation of specific data models to ultimately help drive better business decisions through insights from a combination of external and AT&Ts data assets.
$128,400 - $215,800 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) as well as with the No-SQL (e.g. MongoDB, HBase, Cassandra) As a Data Engineering & Analytics practice lead you will be responsible for growth, business development and providing advisory and thought leadership on the provision of analytics environments leveraging Cloud based platforms, big data technologies, including integration with existing data and analytics platforms and tools.
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Big Data engineer - Remote. Possess in-depth knowledge of AWS services and data engineering tools to diagnose and solve complex issues efficiently, specifically AWS EMR for big data processing.
Full-timeRemoteExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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The Development Coordinator will support BBBSLA's overall financial growth through data management and record-keeping, gift processing, the maintenance of fundraising technologies, the implementation of email and direct mail campaigns, and general administrative support for the Fund Development Department.
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5+ years in designing, solutioning the Databricks, Snowflake, PySpark and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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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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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) This role provides you with a broad platform to build partnerships with business and risk counterparts, a vantage point to explore end-to-end data ecosystems and technologies, and ability to co-develop data solutions for GRM that drive the greatest value across the organization.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Relevant certifications (e.g., Snowflake, Databricks, Certified Analytics Professional, AWS Certified Big Data - Specialty) are a plus. Proficiency in data analytics tools and technologies, such as Python, R, SQL, and cloud platforms (e.g., AWS, Azure.
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The Senior Big Data Software Engineer is responsible for the development of high performance, distributed computing tasks using Big Data technologies such as Hadoop, NoSQL, text mining and other distributed environment technologies.
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Leverage big data tools, geospatial methods, and programming frameworks to ensure that the data gathered from data pipelines can be applied to data science models and the model outputs are ready to scale as needed.
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Experience with ETL/ELT tools like ADF, Informatica, Talend, etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon Redshift, Snowflake, Google Big Query, etc. Strong experience with big data tools(Databricks, Spark, etc.
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Hadoop/Big Data/Databricks Certifications. Performance tuning in Big Data environments, Spark, ADF, Snowflake. Understanding of Big Data technologies such as Spark, NiFi, Impala, Sqoop, Hive, and File formats like Parquet, AVRO, ORC, CSV, JSON.
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Big Data certifications (e.g., Cloudera Certified Professional (CCP): Data Engineer, Databricks Certified Professional Data Scientist). Big Data Concepts: Basic knowledge of Big Data technologies and frameworks, including Spark and Cloud ETL tools like Databricks.
$100,000 - $115,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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As a Data Scientist, you will create tailor-made solutions from complex client anti-money laundering (AML) and anti-financial crime (AFC) data applying mathematical, problem-solving, and coding skills to manage big data to extract valuable insights for our clients.
$111,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago
big data jobs Title: data scientist applied in Phenix-city, Alabama
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