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Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid) Familiarity with data pipelines and orchestration frameworks (Spark, Hadoop, Databricks, Airflow.
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Technical Proficiency: Expertise in SQL and programming languages such as Python; familiarity with big data technologies like Apache Hadoop, Spark, and Kafka. Professional Experience: At least 5 years of experience in data engineering, with a strong focus on data integration and pipeline construction in cloud environments and enterprise data warehouses like Snowflake.
$134,500 - $215,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data processing frameworks such as Apache Spark. Experience with distributed data management systems such as Palantir Foundry and Databricks. Working with upstream system administrators and downstream business customers to onboard data, ensuring high quality, discoverability, ease of use.
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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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Latitude specializes in providing highly skilled former in-house counsel and Big Law attorneys for flexible contract engagements and permanent positions in dozens of practice areas, including commercial contracting, data privacy, M&A, employment, litigation, and more.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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You'll be instrumental in crafting and scaling ML strategies that make a real impact, collaborating closely with product managers, engineers, and the VP of Engineering (AI/Data). PhD or Masters's Degree in Computer Science, Mathematics, or Statistics a similar technical field of study with a specialisation in Machine Learning, Data mining, Information Retrieval or Data science.
$260,000 - $300,000 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, Quicksight, Glue/lake formation, EMR/Spark/Scala, Athena etc.
$139,100Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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For example- SVM, Random Forest, graph models, Bayesian inference, neural networks, NLP, LLM (Required) 4-7 years Experience with big data architecture and pipeline, Hadoop, Hive, Spark, etc.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience with relational databases (e.g., SQL Server, Oracle, MySQL), big data cloud platforms (e.g., Snowflake, Azure Data Warehouse), and object-oriented data platforms (e.g., NoSQL, Hadoop, MongoDB.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Prior experience with Big Data tools like Spark, Hive, EMR, or Presto is necessary. Given our datasets' size, complexity, and criticality, we seek a Software Engineer with a deep analytical mindset and modern distributed systems experience with prior experience working with one of big data tools - Hadoop, Glue, Spark, EMR, Apache Iceberg in a cloud environment for processing petabyte scale data We seek a dedicated problem-solver with a proven history of devising creative solutions for intricate data challenges.
$129,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Online advertising includes the highest levels of challenge on the technical side, with high transactional loads, big data, modeling, cross-stack product and UX design, combined and directly connected with a marketplace of supply and demand.
$200Full-timeExpandUpdated 22 days ago - UpvoteDownvoteShare Job
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Proven experience with Azure, Databricks and Hadoop distributed frameworks while handling large amount of big data using Spark and Hadoop Ecosystems. Strong understanding of databases and big data software technologies, specifically Azure and Databricks.
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Possessing 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 Insurance data warehouse.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience with big data processing frameworks (e.g., Hadoop, Spark) and distributed computing for efficient data mining on large-scale datasets. 3+ years experience as a Machine Learning Engineer, Data Scientist, and experience in Deep Learning is preferred.
$129,200 - $194,750 a yearFull-timeExpandUpdated 23 days ago - UpvoteDownvoteShare Job
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Advanced competency and expertise in several Data ETL (Teradata, Oracle, SQL, Python, Java, Ruby, Pig)Advanced competency and expertise in several Analytic Languages (R, SAS, SPSS, Stata)Big data processing techniques, preferredRetail, customer loyalty, and eCommerce experience, preferred As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits.
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