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Our transportation client is looking for a Big Data Engineer - Spark/Databricks to join their team. Must have hands-on experience with high-velocity high-volume stream processing: Apache Kafka and Spark Streaming.
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Technical Skills: Hands-on experience with multiple ETL/BI tools (e.g., Talend, SSIS, Abinitio, Informatica) and Cloud Technologies (AWS, Databricks, Airflow, etc. Technical Expertise: Offer insights and solutions related to AWS Cloud and Big Data Domains, addressing client technical challenges and suggesting transformation opportunities.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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2+ years hands-on data engineering experience - must. We're seeking for a Big Data Engineer to help us grow our data science team's capabilities. Big Data Engineer.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Bachelor's degree with Minimum 3 years of overall experience, with hands-on experience in setting up enterprise-level data lakes using any big data platform (Azure Data Lake and/or Databricks a plus.
$50,000 - $125,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Being a domain expert on data modeling, data pipelines, data quality and data warehousing of financial data.
$120,000 - $162,500 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Hands-on experience working with modern cloud data lake house technologies e.g. Databricks (preferred) or Snowflake. We are on an exciting journey modernizing our data technologies and ways-of-working to make use of best in-class technologies and truly agile practices.
$140,000 - $165,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience to design and build solution powered by DBT models and integrate with Databricks. Provide guidance and support to our data engineering team on Databricks-related issues.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Lead and execute activities to support Google Cloud Native big data & analytical tools like Python, R, Spark, Big Query, Spotfire, and Tableau. This person will develop a deep understanding of the analytical need and leverage knowledge of Equifax data assets, big data technologies, data engineering, keying and linking concepts, build attributes and statistical models using traditional and modern machine learning techniques.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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A minimum of 10+ Years of experience as a lead Data Architect/Analyst with hands on experience in. Experience Level : A minimum of 10+ years of hands-on technical experience in working with Snowflake, Power BI, ETL like 5tran, DBT, etc.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Demonstrate hands-on Data Cloud product knowledge by applying platform features and functions to customer business priorities and roadmap. Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. Monitor, analyze, and report on key performance metrics using business intelligence tools such as Tableau, providing insights and recommendations for data-driven decision-making.
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Proficiency in SQL and experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL); experience with data modeling, data warehousing, and ETL processes, proficiency in various programming language (e.g., Python, SQL, Java), experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Databricks, Hadoop, Spark, Kafka, Cassandra.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
ExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Hands-on experience with SQL, NoSQL, and data warehousing technologies. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark) is a plus.
Full-timeExpandApply NowActive JobUpdated 26 days ago
big data hands on jobs Title: coordinator in Atlanta, GA
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