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What You Will Be Doing-Build sophisticated data pipelines using dbt, Airflow, and Snowflake, with special emphasis on performance optimization and data integrity using Great Expectations.
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After the first year, matches your contribution up to 4% of your salaryBenefits- Vacation/PTO- Medical- Dental- Vision- 401kSo if you are a Senior Data Engineer with Airflow & DBT Experience- apply today.
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Strong experience with Microsoft SQL Database developing stored procedures, writing complex SQL queries, designing custom databases, resolving data integrity issues, backup, and maintenance, ETL.
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Opening for you as our next TS/SCI cleared Data Integration Engineer supporting the National Media Exploitation Center (NMEC) under our 10-year DOMEX Technology Platform (DTP) contract. Ensure data integrity by performing employing data engineering best practices.
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As a Senior QA Automation Engineer, you'll play a crucial role in ensuring the accuracy and quality of our data warehouse implementations. Experience with ETL testing tools and cloud data platforms.
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Ensure data quality, integrity, and consistency throughout the ETL pipeline. Your expertise in Python, PySpark, ETL processes, CI/CD (Jenkins or GitHub), and experience with both streaming and batch workflows will be essential in ensuring the efficient flow and processing of data to support our clients.
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Develop, optimize, and manage data pipelines for ETL processes using azure Databricks, with a focus on data integrity and quality. Title: Data Platform Engineer with Databricks and Unity Catalog (implementation experience is must.
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Leidos has an exciting opening for you as our next TS/SCI cleared Data Integration Engineer supporting the National Media Exploitation Center (NMEC) under our 10-year DOMEX Technology Platform (DTP) contract.
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Experience designing and maintaining ETL and ELT pipelines with technologies such as Spark, Airflow, Dagster, Prefect, Argocd, Metaflow, Kubeflow, etc. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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Experience with DevOps / MLOps, using CI/CD methodology with data pipelines, and cloud-native deployment paradigms. Expertise in data profiling techniques and understanding the content from both a data quality and business perspective.
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Formulate and execute ELT / ETL strategies to transfer data from internal sources to operational data stores, Azure data lake, and data warehouse. Ensure data integrity through validation and testing mechanisms.
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As a cornerstone in leveraging data for strategic advantage, the Data Engineer develops robust data pipelines and architectures, implements sophisticated ETL processes, and oversees the security and quality of data storage solutions.
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The IT Operations Engineer will have a strong background in lifecycle services, DevOps, user security, data migration using Excel templates, performing software upgrades, issue tracking and resolution, bug logging, and preferably some project management experience.
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Hands on experience in Data Analytics, ETL, Database Queries. Ideally three (3) to five (5) years of large scale data engineering, with at least one implementation in AWS, ideally using Redshift, Glue, S3, DMS, Step Functions and Lambdas.
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