
Data Engineering Lead
19 hours ago
We are seeking a Senior Data Engineer to join our team and play a key role in designing and implementing data engineering solutions. This is a critical position that requires expertise in extracting, transforming, and loading data from various systems into the Enterprise Data Warehouse.
Main Responsibilities:- Work closely with business users and stakeholders to understand business processes and design data models.
- Develop conceptual, logical, and physical data models with associated metadata.
- Design, develop, and maintain ETL workflows and mappings using appropriate data load techniques.
- Collaborate with the BI team to evaluate, design, develop, and deploy BI reports and dashboards.
- Bachelor's degree in Computer Science or a related field.
- At least 3 years of experience in data warehousing, data engineering, or data integration projects.
- Expertise in data warehousing concepts, strategies, and tools.
- Strong SQL background and knowledge of relational databases like SQL Server, PostgreSQL, MySQL.
- Experience in GCP & Google BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Function, and GCS.
- Good understanding of SDLC, Agile, and Scrum processes.
- Strong problem-solving, multi-tasking, and organizational skills.
- Excellent written and verbal communication skills.
- Ability to lead a team spread across multiple locations.
What You Will Do:
- Collaborate with stakeholders to translate business information needs into well-defined data requirements.
- Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract, and transform into reporting & analytics.
- Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions.
- Support data governance processes.
What We Offer:
- A chance to work with a leading data science and AI company.
- A collaborative and dynamic work environment.
- An opportunity to work on exciting projects and contribute to the growth of the company.
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