Senior Data Engineer

The Go-To-Markets Data Analytics team is looking for a skilled Data Engineer who is motivated to deliver top notch data-engineering solutions to support business intelligence, data science, and self-service data solutions

About the Role:

• SQL Proficiency a must
• 3+ years experience in data engineering, data analytics, or similar data centric disciplines
• Experience with data pipeline and transformation tools such as dbt, Glue, FiveTran, Alteryx or similar solutions
• Experience using cloud-based data warehouse solutions such as Snowflake, Redshift, Azure
• Experience with orchestration tools like Airflow or Dagster
• Preferred experience using Amazon Web Services (S3, Glue, Athena, Quick sight)
• Data modelling knowledge of various schemas like snowflake and star
• Has built data pipelines and other custom automated solutions to speed the ingestion, analysis, and visualization of large volumes of data
• Knowledge building ETL workflows, database design, and query optimization
• Has experience of a scripting language like Python
• Works we'll within a team and collaborates with colleagues across domains and geographies

• Excellent oral, written, and visual communication skills
• Has a demonstrable ability to assimilate new information thoroughly and quickly

• Strong logical and scientific approach to problem-solving
• Can articulate complex results in a simple and concise manner to all levels within the organization

About You:

• Design, develop, optimize, and automate data pipelines that blend and transform data across different sources to help drive business intelligence, data science, and self-service data solutions
• Work closely with data scientists and data visualization teams to understand data requirements to ensure the availability of high-quality data for analytics, modelling, and reporting
• Build pipelines that source, transform, and load data that s both structured and unstructured keeping in mind data security and access controls
• Explore large volumes of data with curiosity and conviction
• Contribute to the strategy and architecture of data management systems and solutions
• Proactively troubleshoot and resolve data-related and performance bottlenecks in a timely manner
• Be open to learning and working on emerging technologies in the data engineering, data science and cloud computing space
• Have the curiosity to interrogate data, conduct independent research, utilize various techniques, and tackle ambiguous problems
• Must have 3+ years in work experience in data engineering or data analytics domains
• Graduates in data analytics, data science, computer science, software engineering or other data centric disciplines