Our data engineering team is building and maintaining mission-critical data infrastructure to power business intelligence and analytics capabilities. This involves developing robust data pipelines, implementing scalable data architectures, and establishing data governance frameworks to support data-driven decision making across the organization.
Essential functions
SQL (Primary tool for data manipulation and analysis)
Python for data processing and automation
BigQuery, Cloud SQL
Google Cloud Platform (DataFlow, DataProc, Data Fusion)
Data warehousing solutions
ETL/ELT tools and frameworks
Qualifications
8-10 years of experience in data engineering or related field
Expert knowledge of SQL
Mid-level knowledge of Python (expert preferred)
Experience with cloud platforms, particularly Google Cloud
Strong understanding of data modeling and warehouse concepts
Experience with ETL pipeline design and implementation
Experience with big data technologies (Hadoop, Spark)
Would be a plus
Knowledge of data governance and security practices
Experience with real-time data processing
Familiarity with BI tools and reporting platforms
Strong background in performance optimization and tuning
Advanced debugging and troubleshooting skills
We offer

Keyskills: Automation Data modeling Debugging data governance Data processing Business intelligence Troubleshooting Analytics SQL Python
NextSphere is full-service custom application development firm that helps customers grow and keep up, in a constantly changing technology landscape. We at NextSphere develop and support business applications for customers in wide range of industries. We strive to work on projects where the NextSpher...