Data Engineer

Overview

Cayuse Commercial Services (CCS) delivers fresh solutions to business challenges in the technology and business services environment. Services available are application development, business process outsourcing, data services, and professional services. Cayuse helps clients to achieve impactful outcomes such as improved efficiency, reduced cost, increased profitability and accelerated time to market.

• The successful candidate will be responsible for designing, developing the transformation and modernization of big data solutions on GCP cloud integrating native GCP services and 3rd party data technologies also build new data products in GCP.
• We are looking for candidates who have a broad set of technology skills across these areas and who can demonstrate an ability to design and develop right solutions with appropriate combination of GCP and 3rd party technologies for deploying on GCP cloud.

Responsibilities

• Work as part of an implementation team from concept to operations, providing deep technical subject matter expertise for successfully deployment of Data Platform Implement methods for automation of all parts of the pipeline to minimize labor in development and production.

• Identify, develop, evaluate, and summarize Proof of Concepts to prove out solutions

• Test and compare competing solutions and report out a point of view on the best solution

• Experience with large scale solutioning and operationalization of data warehouses, data lakes and analytics platforms on GCP

• Design and build production data engineering solutions to deliver our pipeline patterns using Google Cloud Platform (GCP) services: o BigQuery, DataFlow (Apache Beam), Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer (Apache Airflow), Cloud SQL, Compute Engine, Cloud Functions, and App Engine

• Migrate existing Big Data pipelines into Google Cloud Platform . Build new data products in GCP.

Qualifications

• Bachelors or Masters in Required Field
• Minimum 3 Years of Experience in Java/python in-depth

• Minimum 2 Years of Experience in data engineering pipelines/ building data warehouse systems with ability to understand ETL principles and write complex sql queries.

• Minimum 5 Years of GCP experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc
• Minimum 2 years of experience in development using Data warehousing, Big Data Eco System Hive (Hql) & Oozie Scheduler, ETL IBM Data Stage, Informatica IICS with Teradata 1 Year experience of deploying google cloud services using Terraform

Skills Preferred:

• Understands Cloud as being a way to operate and not a place to host systems Understands data architectures and design independent of the technology Experience with Python, Shell Script preferred Exceptional problem solving and communication skills and management of multiple stakeholders Experience in working with Agile and Lean methodologies Experience with Test-Driven Development

Affirmative Action/EEO Statement: Cayuse embraces diversity and equal opportunity in a serious way. We celebrate diversity and are committed to creating and building a team that represents a variety of backgrounds, perspectives, and skills. Cayuse, and all of its subsidiaries, are proud to be an equal opportunity workplace and are an affirmative action employer.

Pay Range

Salary : $45 - $50