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O Cloud: AWS, Azure and/or GCP. o Data warehouse: Databricks, Google Big Query, AWS Redshift, Snowflake or equivalent. 5 years of work experience as a data engineer, including 3 years of experience in designing, developing, testing, and maintaining E2E data pipelines.
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Familiarity with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc. Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.
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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. 5+ years of data warehousing experience (Redshift or Snowflake.
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The Lead Data Engineer for Data Transformation is a highly visible manager-level leadership role expected to lead and mentor an extremely talented technology Agile team responsible for building Data Transformation pipelines to support the business requirements.
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Proficient with AWS Big data services (Glue, Athena, Redshift, Lake formation, Lambda) The Data Engineer II occupies a unique role at the intersection of technology, marketing, finance, statistics, data mining, and social science.
$70 - $72 an hourFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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6+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.
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As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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Hands-on expertise in 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.
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2+ years of data warehousing experience (Redshift or Snowflake) Senior Data Engineer - Principal Associate (Spark, Scala) As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Amazon World Wide Grocery Data Tech(WWGDT) is seeking an experienced and proven Software Development Engineer (SDE) to lead medium to large cross-functional strategic initiatives that support WWGDT strategic goals.
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Key job responsibilitiesThis role will work closely with business intelligence engineers, data engineers, and security engineers to develop innovative solutions to collect and store security, compliance, technology, and assessment-based data, develop pipelines based on Lambda functions, and manage the data security and integrity of RedShift clusters within the teams’ architecture.
$123,700Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Have experience with technologies such as Sci-kit learn, Pytorch, Tensorflow, ML Flow, Airflow, data warehouses (e.g. Snowflake, Redshift, etc) We are seeking a highly skilled and motivated engineer to join the Data Science and Analytics Engineering team within the Platform organization.
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Working knowledge of one or more (ideally several) data platforms, including: MS SQL Server, Azure SQL, Azure Synapse, Oracle, Redshift, Couchbase. This position has primarily concentration on data and backend related work however based on specific requests or projects the candidate should be comfortable working on frontend tasks also.
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Data Warehousing Guru: Familiarity with data warehousing solutions like ClickHouse, Redshift, BigQuery, or Snowflake for efficient data storage and retrieval. Data Engineering & Backend Proficiency: 7+ years of experience as a Big Data Engineer or Backend Engineer, demonstrating a strong understanding of data systems design and development.
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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 4 days ago
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