Google Cloud Platform Data Engineer-W2 (Hybrid in Dallas, TX)
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Saksoft, is seeking the following. Apply via Dice today!Required technologies:
- Google Cloud Platform
- BigQuery
- DataProc
- DataFlow
- Pyspark
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Extensive Experience on BigQuery, DataProc and DataFlow platforms on Google Cloud platform. Having experience on Azure Databricks is an added advantage (not mandatory).
- Experience on Cluster capacity configurations and cloud optimization to meet application demand.
- Programming experience on Python, Shell scripting, PySpark and other data programming language.
- Programming experience on Apache Beam Java SDK for building effective heavy data piplines and deploying them in Google Cloud Platform DataFlow. CICD process to deploy these pipelines in Google Cloud Platform.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with Data Visualization Dashboard, Metrics and etc.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
- Familiar with Deployment tool like Docker and building CI/CD pipelines.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- 8+ years' experience in software development, Data engineering, and
- Bachelor's degree in computer science, Statistics, Informatics, Information Systems or another quantitative field. Postgraduate/master's degree is preferred.
- Experience in Machine Learning and Data Modeling is a plus.