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Continuous Learning and Improvement: Up-to-date with the latest Python libraries, frameworks, and best practices in data engineering, and continuously improving scripting skills and data engineering practices.
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4+ years of experience covering Big Data, Streaming, and Data Engineering related technologies such as spark, using scripting languages such as Python and using object-oriented languages such as Java/Scala/C.
RemoteExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Software Engineer with 7+ years of experience in AWS Data Engineering. Expertise in end-to-end ETL Datawarehouse, Python, AWS managed services (EC2, EMR, Glue, Step function, SNS, Airflow, SQS, Lambda, Cloud Watch, Cloud Trail, S3, Redshift), different databases, Databricks, Starburst.
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Identity and Access Management is a PLUS.Have Data Engineering team as well - if experience with Data side - is a BONUS. Assist in building data platform infrastructure (Snowflake , Talend) and pipelines to support reporting and data science needs within the business.
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Incident and service request management (SPARC) - making sure tickets are acknowledged, updated, and met SLA by the team members. Terraform, DevOps, Tableau and BI tools on high level. Experienced in executing projects in on-site/offshore model and successful implementation of end-to-end ETL Datawarehouse projects.
ExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
$164,000 - $252,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Proficiency in scripting languages like Python or PowerShell for automating data engineering tasks. The ideal candidate will have a strong background in data engineering, along with expertise in cloud computing.
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Scripting and Automation: Proficiency in scripting languages like Python or PowerShell for automating data engineering tasks. Education and Experience » Bachelor’s degree in computer science, Engineering, or a related field Proven experience as a data engineer, with a strong focus on data migration, ETL, and data integration.
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Conduct data and statistical analysis involving Excel, Access, R, SAS, Python, SQL, VBA, and/or other software. A completed master’s degree in Toxicology, Epidemiology, Public Health, Biochemistry, Biology, Chemistry, Environmental Science, Environmental Engineering, OR.
$65,416 - $111,207 a yearExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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3+ years of experience working with the CI/CD and monitoring tools i.e. GitHub actions, Jenkins, Circle CI, Splunk, Grafana, data dog, Dynatrace, AppDynamics and building custom pipelines etc. 3+ years of development experience with object-oriented programming (java/groovy/python/Shell scripting), microservices architecture, Spring Framework, Maven, etc.
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Close cross-functional collaboration with data science, engineering and product. As a Solutions Engineer at Sift, you are the bridge between the customer-facing team and the engineering and product teams.
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Ideal candidates for this role will have experience working in Principal to Director level roles as Software Architect, Data Engineering Leader, Data Engineering Director, Data Engineering Manager, Director of Data Engineering, Principal Data Software Engineer, Backend Developer, Back-end Engineer, Python Software Engineer, Full-stack Engineer, Fullstack Developer.
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Proficiency in SQL, Python and working with Data Science tools (e.g., git, kubernetes, Docker, etc. Experience with data visualization (preferably Looker). This role will be responsible for strategic planning of Machine Learning initiatives with the Product, Engineering, Performance and Business Intelligence teams, analysis of potential impact and prioritization of those projects.
$100,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Proficiency in data mining and feature engineering techniques. Strong proficiency in statistical modeling techniques (eg, logistic regression, linear regression, machine learning techniques) and programming languages (eg, SAS, Python.
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Expertise in data profiling, cataloging, and mapping for technical data flo w; p roficiency in SQL, Spark, PySpark , and Python. Working k nowledge of Azure Data Factory, Databricks, Data Lake, and S ynapse.
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