Data Engineer
- Chennai, Tamil Nadu
- Permanent
- Full-time
data analytics projects. The role will support both a traditional business intelligence function as
well as advanced analytics like machine learning and predictive modelling.
A senior data engineer takes on architectural and performance optimization tasks, lead
projects of system caliber integrations.
Considered an expert “go-to” person.
Serves as coach and mentor to staff.
Demonstrates expert level of competency in trouble shooting and problem solving together
with expert customer and vendor / partner interface skills.
Leads advanced group and enterprise level technology planning.Oversee and Build processes that efficiently ingest data from multiple sources and
intelligently handle the scale and complexities of real-world data.
- Implement processes and systems to supervise data quality, ensuring production
- Gather requirements from the rest of the data team and other internal stakeholders to
- Work with other teams in IT to ensure that data handling complies with all external
- Assist in the governance of our shared BI platform and assist citizen developers in
- Build data models that scale up efficiently and are integrated with Azure DevOps and
- Build and maintain Security interfaces within Snowflake.
- Ensure cost control and perform performance optimization in Snowflake.
- Work with stakeholders and architecture team to ensure the data applications
- Responsible of the architectural layout in Snowflake and Azure Data Factory.
- Ensure effective on-boarding of partners, using Azure DevOps and DBT.
- Issue development guidelines, standards and assure implementation.
- Respect and propose metrics for Snowflake environment’s health.
- Proven experience with Snowflake, certification desired
- Experience with Azure cloud platform, specifically Azure Data Factory
- Experience with SQL and Microsoft SQL Server
- Experience with BI tools like Power BI or Qlik
- Bachelor’s degree in computer science, Information Systems or related technical
- Fluent in English, written and verbal
- Self-Manages: Demonstrated ability to work autonomously towards a goal
- Interpersonal Skills
- Communication and collaboration
- Knowledge of common data regulations like GDPR
- Experience in the manufacturing industry
- Ability to communicate technical content in business terms
- Experience with Python
- Data Architecture experience or knowledge of best standards and techniques