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Senior Data Engineer (Remote) We are looking for a Senior Data Engineer to join a team to work on data pipeline development.
You would work closely with small, highly collaborative Operations and Development teams to architect and deploy high-impact security solutions.
You must be able to work US time zones (UTC-8 to UTC-5/UTC-7 to UTC-4).
ResponsibilitiesBuild data management pipelines from heterogeneous data sources into Data Marts and other repositories for subsequent analysis and data mining.Code, test, and support Python-based services, implementing ETL/ELT, data cleansing, etc.Design and use RESTful APIs, develop shippable code, documentation, and unit test new features for Cloud-based products.Collaborate with Quality, Product, and other Engineering teams.Provide code reviews, design feedback, demos, technical requirements & documentation.Scope projects, provide accurate estimates for reliable delivery of projects.Work closely with the DevOps team on the IAC setup for BI.Key Applicant RequirementsProfessional development experience using Python, including an understanding of functional programming: 5+ years.Cloud infrastructure experience in AWS, Docker: 3+ years.Web-scale data engineering experience using enterprise relational databases: 3+ years.Experience with Apache Spark, especially SparkCore and SparkSQL: 3+ years.CI/CD experience and DevSecOps: 2+ years.Infrastructure As Code (Terraform) experience: 1+ years.Experience in Apache Airflow to orchestrate Spark jobs.Proficient with relational databases such as Oracle, MySQL, PostgreSQL.Experience with AWS services such as RDS, Redshift, S3, EMR.Experience with designing and building Data Marts and ETL/ELT.Proficient with Jira, Confluence, and GIT toolset; IDEs like PyCharm or Visual Studio Code.Experience with CI/CD solutions, message queue systems, and background task management.Skilled in Git and use it for version control.Hands-on experience with Agile/Scrum.Excellent written & verbal communication skills.Ability to coordinate between teams.Bachelor's degree or higher in Computer Science/related field or equivalent experience.PlusesDesign, implementation, and/or maintenance of CICD, Bash scripts.Experience with using AWS EMR Serverless.AWS Certified Data Analytics - Specialty.Databricks Certified Associate Developer for Apache Spark.Experience with serverless technology such as Amazon Lambda or Google Compute Engine.Experience with TeamCity and Octopus.Interview ProcessWe will assist you with preparation, including mock interviews, and coaching to succeed
The steps typically are:
Prescreen with recruiters.Technical interview with the development team.
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