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Hands on experience with big data frameworks and modern data technologies (Snowflake, dbt, Airflow, Tableau, SQL) This is a really exciting time to be working in Data & Analytics at WEX. We are driving towards our True North vision of providing the right data, in the right place, at the right time so that we can enable and accelerate the journey to being a data-driven organization.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies (e.g., Snowflake, Google BigQuery) and cloud computing platforms (e.g., AWS, GCP, Azure) Proficient in programming languages such as Python, R, and SQL for data manipulation and analysis.
$180,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Job Title: AWS Big Data Engineer. ⁃ 4+ years designing and developing relational database objects; knowledgeable on logical and physical data modelling concepts; some experience with Snowflake.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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7 years experience in statistical languages and tools (R, Python, SQL, Big Query) Master's Degree in Computer Science, Information Technology, Data Analytics or Statistics, Mathematics, Applied Mathematics, and Data Science Or equivalent educ/experience.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Background in big data, Cloud, or SaaS sales is preferable. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse.
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3+ years of experience working with Hadoop and Big Data processing frameworks (Hadoop, Spark, Hive, Flink, Airflow etc.) Experience working with Big Data streaming services such as Kinesis, Kafka, etc.
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3+ years of experience with big data architecture and data pipelines, familiarity with Airflow is preferred. WebMD Health Services is looking for a Sr. Data Engineer to join our Data Engineering team.
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You are familiar with Spark, Python, Hadoop, Big Data and have excellent analytics and engineering skills. Data Engineering (Airflow, Spark, Python, SQL) As a Data Engineer focusing on Data Quality for Asia Pacific and Latin America, you will use your technical expertise to validate and ensure data accuracy across a variety of systems.
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Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture. For example, reconciliation using Big Data technologies, growing and optimizing customer payments options, tax calculations in milli-second response times and a mesh of supplier payment options like virtual credit cards.
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Familiarity with big data technologies such as Hadoop, Spark, or Kafka. Certifications related to cloud platforms (Azure, AWS) or data engineering (e.g., Microsoft Certified: Azure Data Engineer.
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Experience with big data pipelines (Hadoop, Spark), AI applied research, industrial recommendation systems, Large Language Models (LLMs) and prompt engineering is a plus. Deploy big data technology and large scale data pipelines.
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Hands-on experience with big data technologies such as Apache Spark, Hadoop, or similar frameworks. As a Data Engineer, you will design, implement, and maintain data pipelines and infrastructure on the Azure cloud platform, utilizing Fabric technology.
$110,000 a yearFull-timeExpandApply NowActive JobUpdated Today
big data jobs in Portland, Norwood, Massachusetts
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