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Chief Data Architect
2 weeks ago
As a seasoned data engineer, you will lead the development of a high-performance data processing pipeline to extract, transform and load data from various systems to our enterprise data warehouse.
Key Responsibilities:
- Collaborate with stakeholders to understand business processes and identify data transformation/cleansing requirements.
- Design and implement dimensional and fact tables using data warehousing concepts and strategies.
- Develop ETL workflows and mappings using cloud-based data warehousing technologies.
- Analyze and resolve problems, providing technical assistance as necessary.
- Partner with the BI team to evaluate, design, develop, and maintain business intelligence reports and dashboards according to functional specifications.
- Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract, and transform into reporting & analytics.
- Define and document the use of business intelligence through user experience/use cases, prototypes, test, and deploy solutions.
- Develop and support data governance processes, analyzing data to identify and articulate trends, patterns, outliers, quality issues, and continuously validate reports, dashboards, and suggest improvements.
- Train business end-users, IT analysts, and developers on data engineering principles and practices.
Requirements:
- Bachelor's degree in Computer Science or similar field or equivalent work experience.
- 3+ years of experience on Data Warehousing, Data Engineering, or Data Integration projects.
- Expert knowledge of data warehousing concepts, strategies, and tools.
- Strong SQL background and proficiency in relational databases like PostgreSQL, MySQL.
- Experience with cloud platforms such as Google Cloud Platform (GCP) and Google BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Function, and GCS.
- Good understanding of database management systems, online analytical processing (OLAP), and ETL framework, data-warehousing, and Data Lakes.
- Strong problem-solving, multi-tasking, and organizational skills.
- Highly proficient in working with large volumes of business data and strong understanding of database design and implementation.
- Good written and verbal communication skills.
- Demonstrated experience of leading a team spread across multiple locations.
Preferred Skills:
- Knowledge of Informatica Power Center.
- Cloud computing expertise.
- Big data technologies such as Hadoop, Spark, NoSQL databases.
- Data visualization tools like Tableau, Power BI.
