Sr. Data Engineer

Location

Bangalore | India

Job description

• Work on software development (data) projects within different disciplines which influences multiple areas of the business
• Work closely with the product manager, business analyst, and architect to develop the technical design and solutions
• Analyze, code, test, implement, and update existing or new data engineering solutions
• Coordinate with other team members and provide the tangible end-product
• Use a process-driven method to approach design solutions
• Work collectively with the product owner, program leadership, and others and support them in resolving hitching issues
• Plan your development tasks accordingly to improve and grow your performance bar considerably
• coordinate activities of team personnel
• Work with teams to implement a modern data platform engineering deliverables aligned to our customer needs
• Develop/design data models, data flows, and integration patterns for the data systems, like data warehouse, databases, data lake, and usage data layers.
• Collaborate with fellow data engineers and other architects in building and developing conceptual, logical, and physical models
• Independently analyze, solve, and correct issues in real time, providing problem resolution end-to-end
• Identify new opportunities and help refine automation of regular processes, track issues, and document changes
• Share domain and technical expertise, providing technical mentorship and cross-training to other peers and team members
• Advocating/collaborate for an effective data governance practice

Requirements

• Experience in development of data warehousing, or Lake House Architecture or relevant experience (Snowflake, Microsoft SQL Server, Microsoft Shared Pool)
• Experience with JIRA
• Design scalable solution strategies to support batch, near real time and streaming data integration with new and existing tools/technologies architecture
• Understand the role of data, domain, and ontology modelling in the building of scalable end-user facing applications.
• Working experience in multidimensional data modeling, such as star schemas, normalized and denormalized models, handling slow-changing dimensions/attributes
• Technical proficiency with standards-based data engineering tools
• Deep understanding of Microsoft Azure cloud and its data platforms offerings
• Have a passion for learning new technologies in space.
• Experience working with data warehouses solutions such as Microsoft Synapse, DW, or Snowflake and understanding of data architecture design

Health Wellness

• Hybrid Remote Work Opportunities

• Flexible Time Off

• Career Development Mentoring Programs

• Generous Retirement Benefit Plans, including a company-matching HSA program.

• Health Wellness Benefits, including a 12-weeks of parental leave for eligible new parents

• Community Volunteering Company Philanthropy Programs

• Employee Peer Recognition Programs - You Earned it

Job tags

Salary