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3 + years of hands-on experience of working on modern columnar data platforms like Snowflake, AWS Redshift, Azure Synapse. 3+ years of experience working on cloud platform preferably AWS and related data engineering services like Glue, S3, Lambda, CloudWatch, Parameter Store, MWAA etc.
$118,800 - $205,920Full-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience in data integration and data governance practices, and familiarity with relevant data protection and privacy regulations. Hands-on experience in pattern and trend identification in large data sets.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake.
$73,100 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Desired Qualifications:- TS/SCI clearance is required- Minimum of 3 years of experience as a military Data Subject Matter Expert or related role, withdemonstrated experience with digital strategy, IT project management, enterprise architecture,SDLC (Software Development Life Cycle), or transformation.
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3+ years of data pipeline engineering experience, and/or deep database engineering experience. Experience with data pipeline tools (e.g. Glue, Step Functions, Lambda.
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Experience delivering advanced analytics, AI/ML, data management, and visualization capabilities. Experience with Advana or the Advana tool stack (Databricks, AWS, Python, R, Qlik, and/or Tableau.
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Experience with data warehousing using AWS Redshift or Snowflake. Experience defining and writing data governance documentation. 5+ years of experience with ETL design, data cleansing and processing, and database programming for data analytics utilizing disparate data sources.
$75,600 - $172,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience as a Solution Architect or Data Engineer, with a focus on Databricks. 8+ years of data engineering experience within cloud-based analytics architectures, with at least 4 years in a traditional consulting environment and role.
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We are seeking a Senior Data Analyst to help develop MLT’s insights on advancing racial equity and socioeconomic mobility. With over two decades of experience in developing and implementing racial equity strategies, MLT provides organizations with a winning DEI playbook, strategies, and tactics.
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5+years of data engineering and architecture experience. 5+ years of experience connecting data sources and storage. Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Experience with data engineering, analytics tools, data modeling, and visualization platforms (e.g., Power BI) is a plus. Data Observability experience with one or more of New Relic, Azure Monitor, Datadog or Dynatrace desired.
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Minimum of 5 years' experience with automated delivery pipelines, agile delivery, and test-driven development and real-time data processing (e.g., Kafka, Spark Streaming). The ideal candidate must be hands-on and will have a strong background in data engineering, with proven experience in developing and deploying large-scale data solutions in a cloud environment, must be metrics-focused and obsessed with Cloud native and DevOps technologies.
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The ideal candidate will have a solid understanding of Java and Python programming languages, along with experience working with Databricks for data engineering tasks. Experience with front-end development using HTML, CSS, and JavaScript frameworks (e.g., React, Angular, Vue.js.
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Experience as the primary data architect and lead data engineer on multiple. ● At least 10 years of experience in large-scale data storage and analysis and experience with technologies like Python, R, and BI systems to complete a.
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Experience with data management and/or data governance experience with some experience in establishing and implementing data management structure and/or data governance, preferably in a manufacturing or consumer products company.
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