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Expertise in data storage technologies such as relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), data warehouses (e.g., Snowflake, Redshift), and data lakes (e.g., Amazon S3, Azure Data Lake Storage.
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8+ years of experience in data engineering or systems engineering, with a focus on data systems technologies. Position Overview: As the Lead Data Systems Engineer, you will play a pivotal role in leading our data systems engineering initiatives and driving the design, implementation, and optimization of our data systems infrastructure.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery). Data Engineering & Analytics Lead Are you a skilled, experienced Data Engineering & Analytics professional seeking a leadership position in the healthcare industry.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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West Creek 4 (12074), United States of America, Richmond, VirginiaManager, Data Engineering. 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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Proficiency in data storage technologies such as relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), data warehouses (e.g., Snowflake, Redshift), and data lakes (e.g., Amazon S3, Azure Data Lake Storage.
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Whether you’re telling a data story in ways our clients never imagined or building advanced AI models with automated data engineering, the core purpose will be centered on using data to impact people in a meaningful way.
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Experience managing cloud data warehouses (Snowflake, BigQuery, Redshift, etc.) Experience implementing real-time and batch data pipelines with tight SLOs and complex transformation requirementsProficiency in data architecture and modeling concepts, such as Kimball or Data VaultExpertise in data engineering tooling, such as ingesting, testing, transformations, lineage, orchestration, and/or semantic layers.
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Cloud-first experience with modern data engineering tools such as Apache Spark, python, dbt, Databricks, and Snowflake. BS or MS degree in Health Informatics, Data Engineering, Computer Science, Information Technology or equivalent.
$140,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our industry-recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. This role will perform hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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With our team, you will be challenged to build scalable solutions, while embracing a fail-forward mentality critical to evolution. This position will work with cutting edge technology, deliver high quality solutions across various industries and collaborate with teams on engagements that range in size and scope.
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Job Summary:With a global network serving clients across multiple industries and countries, our analytics game changers are poised for widespread technological impact. California Range: $100,000 - $155,000 Colorado Range: $100,000 - $155,000 NYC/Long Island/Westchester Range: $100,000 - $155,000 Washington Range: $100,000 - $155,000.
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You be working in the Card Partnerships Conversion tech team supporting Partner Conversions into Capital One. Looking for someone who is passionate about data and has experience implementing scalable data architectures along with prior hands-on data engineering experience leveraging Scala or Python in building ETL pipelines.
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5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) As a Capital One Senior Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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