Cloud Data Engineer
Ann Arbor, MI
Nexient
Nexient is America’s largest 100% US-based software development consulting firm. We help clients outpace their competition through agile development, digital innovation and product-minded / project to product strategies.We are looking to hire Cloud Data Engineers with experience in building data pipeline using cloud technologies. The ideal candidate should have demonstrated experience building large-scale solutions in one, or more major cloud providers – AWS, Azure, or GCP.
Role and Responsibilities:
- As part of a team, deliver production data pipelines, while working in collaboration with product and application teams
- Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications
- Leverage cloud-based architectures and technologies to move, transform, and secure data, at scale
Required Skills and Experience:
- 2-5 years of experience building, scaling, and optimizing enterprise-grade data pipeline
- 2+ years of experience developing and deploying solutions in a public cloud (AWS, Azure, GCP).
- Mastery of data wrangling in rational databases using SQL
- Knowledge of object-oriented programming design best practices
- Experience using source control (git)
- Experience promoting data pipeline though development, testing, and production environments
- Professional services experience, a plus
- Cloud provider certification, a plus
Data engineering technologies:
- Spark / Hadoop / Databricks
- Python (JavaScript, Java or Scala, a plus)
- Advanced SQL
- Petabyte-scale, cloud-native data stores (Redshift, Athena, BigQuery, Synapse)
- Cloud storage (S3, GCS, Azure Blob Storage)
- Understanding of modern warehousing and data lake patterns
- Experience in one or more of:
- Airflow or other orchestration tools
- Kafka, queue/messaging paradigms
- Flink, Beam, and other Apache data movement software
- NoSQL and document store technologies
Cloud (one or more of AWS, Azure, GCP):
- Security/networking basics
- Cloud native tools for batch and streaming data processing
- Cloud native query engines
- Serverless cloud functions, a plus
- Visualization/reporting experience, a plus
Tags: Agile Airflow ANN Architecture Athena AWS Azure Big Data BigQuery Databricks Data pipelines Engineering Flink GCP Git Hadoop JavaScript Kafka Machine Learning NoSQL OOP Pipelines Python Redshift Scala Security Spark SQL Streaming Testing UX
Perks/benefits: Career development Flex hours Flexible spending account Flex vacation Health care Insurance Medical leave
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