Senior Data Engineer

🕒 il y a 10 mois

🏄 California, Oregon, +2 états de plus – Distant

🏄 California – Remote 🌲 Oregon – Remote ⛷️ Utah – Remote ☕ Washington – Remote

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

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xScion Solutions

Site WebLinkedInTous les Emplois

51 - 200 employés

🏥 Santé

📦 Logistique

⚖️ Juridique

Healthcare • Logistics • Legal

xScion Solutions (xScion) est une société de conseil en technologie qui aide les organisations dans les industries hautement réglementées à transformer le changement en valeur® grâce à son expertise en agilité d'affaires, en transformation cloud et en gestion du changement. En tant que Petite Entreprise Possédée par une Femme (WOSB) certifiée avec plus de 20 ans d'expérience dans le soutien de la technologie réglementaire (RegTech), xScion fournit à la fois des experts du domaine et des solutions sur mesure pour aider les organisations à naviguer efficacement dans les exigences complexes de conformité et de technologie dans les secteurs des services financiers, de la santé, des organisations à but non lucratif et du secteur public.

Description

• Design, develop, and operationalize large-scale enterprise data solutions using AWS services such as S3, Glue, Athena, Lambda, RedShift, EMR, Spark, and DynamoDB • Analyze, redesign, and re-platform on-premise data solutions from Cloudera Hadoop platforms to AWS native data stack • Design, develop, and deploy data pipelines from ingestion to consumption within a big data architecture using Java, Python, or Scala • Participate in discussions related to architecture, design, and product development to understand business requirements and translate them into technical solutions • Take responsibility for complete user stories through analysis, design, development, and testing as per project timelines • Develop and maintain scripts to automate batch jobs • Support and maintain existing applications, troubleshooting and resolving technical issues • Follow appropriate technical best practices and internal processes while complying with various information security controls • Maintain existing data solutions running on Hadoop stack using HDFS, Oozie, Impala, and Hive, handling some enhancements until the cloud migration.

🎯 Exigences

• Bachelor’s Degree in Computer Science, Information Technology, or other relevant fields • Must be a US Citizen or a Green Card holder for over 3 years with the intent to become a US Citizen • 7+ years of software development experience related to data engineering • Hands-on experience in Java, Python, or Scala with the ability to understand/write complex SQL queries • Proficient in AWS services such as S3, Glue, Athena, Lambda, RedShift, EC2, EMR, Spark, and DynamoDB using Java, Python, Scala, or PySpark • Experience deploying software solutions to the cloud platform through CI/CD in a DevOps model • General understanding of application and data security concepts with exposure to AWS IAM, CloudTrail, CloudWatch, AWS Config, Secrets Manager, and KMS • Hands-on experience with Hadoop technologies such as HDFS, Oozie, Impala, and Hive • Experience with Ansible, Terraform, or Cloud Formation scripts to develop or support Infrastructure as Code • Experience working with Hadoop-based Big Data architecture and solutions • Experience working in an Agile development environment using Agile tools like Jira or Rally • Proficiency with UNIX commands and shell scripts • Ability to effectively communicate, collaborate, and work in a team environment to deliver high-quality work independently • Background check which includes fingerprinting, drug testing, and a personal interview (applicant consent required) • Nice to have: experience with RDBMS and data warehouses • Nice to have: experience with Machine Learning technologies and data visualization tools

🏖️ Avantages

• Medical, dental, 401(k) match, flexible spending and more • Up to 27 days off a year (including your birthday!) • Remote work opportunities • Parental leave • Wellness benefits • Professional development, including our Communities of Practice, technology partnerships, sandbox and paying for certifications and trainings to improve their skills • Inclusive and diverse culture as a woman-owned organization