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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus. 5+ years of experience in Database Engineering primarily in AWS Redshift, RDS/Aurora, DynamoDB, DMS, Glue.
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Hands on experience with ETL/ELT tools like ADF, Informatica , Talend etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon redshift , Snowflake , Google Big Query etc.
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As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions from fraud detection to cancer research, to national intelligence.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in core data engineering technologies Snowflake, Azure Data Factory, AWS Redshift or Databricks. Ability to translate “big picture” business requirements and use cases into a full data engineering solution.
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Consulting, Staffing & Staff Augmentation, Managed Services, design thinking, big data, employee engagement, executive hires, digital engineering services, talent development, R&D Labs, Cloud Computing, DataOps, DevOps, RPA, digital transformation, and AIOps.
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As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
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Experience with data analytics and warehouse solutions such as Snowflake, Delta Lake, AWS Redshift, etc. As one of Benchling’s Data Platform engineers, you’ll join a rapidly growing, premier engineering team and form the foundation of our data pillar, encompassing customer-facing data products, internal analytics, and the customer-facing data warehouse.
$134,385 - $181,815 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor’s degree in Computer Science, Engineering, IT, MIS, or a related disciplineExpertise in Python, SQL, and RExpertise in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON Expertise in ETL concerning metadata management and data validation Expertise in Unix and Git Expertise in Automation tools (Autosys, Cron, Airflow, etc.
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Knowledge of data lake and data warehouse solutions, including Databricks, Snowflake, Amazon Redshift, Google BigQuery, Azure Data Factory, Airflow etc. Certifications, 2+ yrs data architecture, data engineering patterns, git repo, self-starter and go-getter attitude, software engineering background, ML experience.
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Experience with AWS Services (i.e. S3, EMR, etc) a plus Experience with Cloud data warehouses, automation, and data pipelines (i.e. Snowflake, Redshift) a plus. The Hartford is seeking a Director and Data Engineer within Actuarial to lead data engineers in designing, developing, and implementing modern and sustainable data assets to fuel machine learning and artificial intelligence solutions across a wide range of strategic initiatives.
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Experience with at least one major MPP (elastic map reduce) or cloud database technology (Snowflake, Redshift, Big Query). Working with big data technologies such as Spark and cloud database technologies like Snowflake.
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As a big data engineer at Booz Allen, you’ll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry.
$58,400 - $133,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As a lead big data engineer at Booz Allen, you'll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry.
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Graduate-level degree in computer science, engineering, or relevant work experience Preferred: Understanding of ML frameworks (sklearn, TensorFlow, PyTorch, etc) Experience working with big data platforms (Hadoop, Redshift, Snowflake, etc) Architecture, design patterns, production scaling/optimization Insurance industry experience Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No.
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Experience with Cloud data warehouses, automation, and data pipelines (i.e. Snowflake, Redshift) a plus. This role will be part of a dedicated hybrid actuarial/data science team designing and delivering powerful analytical tools utilizing statistical modeling, machine learning, cloud computing, and big data platforms to enhance or overhaul core actuarial processes.
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