What are the responsibilities and job description for the Full Stack Engineer position at Soluvia Tech?
Company Description
Role : Mid level
Type : Fulltime
Work Type : Onsite
Role Description
The Data engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. This role is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. This position will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be comfortable supporting the data needs of multiple teams and systems. Overall, they must strive for efficiency by aligning data systems with business goals.
Qualifications
- They must be comfortable supporting the data needs of multiple teams and systems
- Overall, they must strive for efficiency by aligning data systems with business goals.
- Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field; or equivalent combination of education experience and training that provides the required knowledge and skills
- 4 – 6 years of experience in a Data Engineer role
- Advanced working knowledge of SQL and T-SQL programming
- Experience with ETL and Data Migration
- Experience with relational SQL and NoSQL databases
- Experience with object-oriented/object function scripting languages: Python etc
- Experience building and optimizing data pipelines, architectures, and data sets
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
- Experience supporting and working with cross-functional teams in a dynamic environment
- Strong analytic skills related to working with unstructured datasets
- 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
- Experience with Machine Learning is a great plus
- Experience with Google Cloud Platform and Snowflake is a must
- Experience with message queuing and stream processing such as Pub-Sub, Azure Event Grid, Kafka etc
- Experience with data pipeline and workflow management tools such as