A leading technology company in data engineering is seeking a Mid-Senior level professional to develop and maintain scalable data pipelines and create impactful Tableau dashboards. The ideal candidate will excel in using Python for data processing and AI/ML techniques for predictive analytics. This contract role offers opportunities to work with cloud technologies like GCP and AWS while collaborating with cross-functional teams.
Qualifications
Experience in developing scalable data pipelines and ETL/ELT workflows.
Proficiency in building Tableau dashboards and data visualizations.
Expertise in using Python for data processing and automation.
Responsibilities
Develop and maintain data pipelines for analytics.
Build Tableau dashboards for decision-making.
Apply AI/ML techniques for predictive analytics.
Skills
Data pipelines and ETL/ELT workflows
Tableau dashboards
Python
AI/ML techniques
GCP
AWS
Observability practices
Data science tasks
Business intelligence
Job description
Responsibilities
Develop and maintain scalable data pipelines and ETL/ELT workflows to support analytics initiatives.
Build impactful Tableau dashboards and data visualizations to enable data-driven decision-making.
Use Python for data processing, automation, and implementing machine learning workflows.
Apply AI/ML techniques for predictive analytics, model development, and insights generation.
Work with GCP (BigQuery, Dataflow, Cloud Storage) and AWS (S3, Lambda, Glue) for cloud-based data solutions.
Implement observability practices including logging, monitoring, and alerting for data systems.
Perform data science tasks including data exploration, feature engineering, and model evaluation.
Execute business intelligence and analytics activities to translate data into actionable insights.
Collaborate with cross-functional teams to understand requirements and deliver reliable data engineering solutions.