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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. High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Advance experience with developing Data Pipeline, ETL/ELT, utilizing tooling of Big Data Platform, Datalake, Synapse, Airflow, AirByte, Snowflake. Experience with Data Ingestion/ streaming tooling such as ADF (Azure Data Factory), Kafka, Five Tran, Spark, or similar technologies.
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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
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Your deep expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be the cornerstone in architecting a robust data mesh that ensures data is accessible, reliable, and provides actionable insights across the organization.
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2+ years of demonstrated ability with Cloud Stack in AWS, Talend (Integration Tool), Snowflake (Cloud computing data storage and analytic service), Spark, etc. Able to do analysis and make code changes to the DataStage ETL, Java, Talend (Cloud), and Unix jobs.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Senior Software Engineer Backend (Python, SQL, ETL, Spark, AWS) page is loaded Senior Software Engineer Backend (Python, SQL, ETL, Spark, AWS) Apply locations McLean, VA New York, NY time type Full time posted on Posted 2 Days Ago job requisition id R184311 Center 1 (19052), United States of America, McLean, VirginiaSenior Software Engineer Backend (Python, SQL, ETL, Spark, AWS) Do you love building and pioneering in the technology space.
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Experience in implementing data pipelines for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc.
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Java and python and (Springboot or "spring boot" or Spring-boot or microservices or "micro-services" or "micro services") and (AWS or EC2) and (Spark or pyspark) Strong in data structure, ETL, data warehouse, and related data engineering technologies.
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Center 1 (19052), United States of America, McLean, VirginiaSenior Software Engineer Backend (Python, SQL, ETL, Spark, AWS)Do you love building and pioneering in the technology space? Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Advanced knowledge of Extract/Transform/Load (ETL) or Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Informatica, Kafka, Spark, MuleSoft, or equivalent software.
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Data Engineering experience including ETL processes, data warehousing, and big data technologies (e.g., Hadoop, Spark). Prior experience in the financial services industry, particularly with regulatory and compliance standards (e.g., GDPR, SOX, PCI-DSS), is highly valued.
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Experience designing and maintaining ETL and ELT pipelines with technologies such as Spark, Airflow, Dagster, Prefect, Argocd, Metaflow, Kubeflow, etc. 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.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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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.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Marathon TS is seeking our next TS/SCI cleared Data Integration Engineer supporting the National Media Exploitation Center (NMEC) under our 10-year DOMEX Technology Platform (DTP) contract. Experience with SQL, NoSQL, and vector databases such as MSSQL, MySQL, PostgreSQL, Redis, FAISS, Milvus, Qdrant, etc.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- 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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