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Apple Cloud Data Engineer 
India, Telangana, Hyderabad 
880857134

06.06.2024
Description
- As a Cloud Data Engineer you will design, develop and implement modern cloud based data warehouse/ data lakes and influence overall data strategy for the organization. - Translate complex business requirements into scalable technical solutions meeting data warehousing/analytics design standards- Strong understanding of analytics needs and proactive-ness to build solutions to improve the efficiency along with that help implement leading data practices & standards.- You will get along with many other internal/external teams to deliver elite products in an exciting rapidly changing environment- Ability to manage partner communication & project risks.
Key Qualifications
  • 4+ years of Hands on Experience in developing and building data pipelines on Cloud & Hybrid infrastructure for analytical needs.
  • Experience working with cloud based data warehouse solutions - Snowflake, SingleStore etc., along with expertise in SQL and Advance SQL.
  • High expertise in modern cloud warehouse, data lakes and implementation experience on any of the cloud platforms like AWS/GCP/Azure - preferably AWS.
  • Experience working with data at scale (peta bytes) with big data tech stack and advanced programming languages e:g Python, Scala.
  • Experience in designing and building dimensional data models to improve accessibility, efficiency and quality of data
  • Database development experience with Relational or MPP/distributed systems such as Snowflake, SingleStore
  • Dedicated, highly motivated with learnability skills.
  • Excellent problem solving, critical thinking with ability to evaluate and apply new technologies in a short time
  • Strong written and oral communication skills
  • Experience in working with global collaborators with ability to influence decision making.
  • Exposure working in Data Science projects will be a plus
Education & Experience
Bachelor’s Degree or equivalent in data engineering, computer science or similar field.