- Design and evolve scalable cloud-native data architectures for advanced analytics
- Develop and maintain real-time and batch data processing platforms
- Define and implement data modeling standards for structured and unstructured data
- Collaborate with engineering and product teams to translate business needs into solutions
- Optimize platform scalability cost and performance in cloud environments
- Establish architectural standards for data-driven decision-making
Qualifications :
- 8 years of experience in data architecture and engineering
- Strong experience with data engineering cloud computing services and solutions in the field of data and analytics. Azure is preferable
- Expertise in data analytics fundamentals such as dimensional modeling ETL reporting tools data governance data warehousing and structured and unstructured data
- Strong knowledge of SQL and solid practical experience with Python or Scala
- Strong experience with database development and data modeling ideally with Databricks or Spark
- Good understanding of big data databases such as Snowflake BigQuery etc. Snowflake is preferable
- Fluency in business English
Additional Information :
PERSONAL PROFILE
- Analytical and strategic thinker with a passion for data innovation
- Strong communication and stakeholder management skills
- Proactive in exploring and adopting emerging technologies
- Collaborative team player with experience working in international teams
Remote Work :
Yes
Employment Type :
Full-time
Design and evolve scalable cloud-native data architectures for advanced analyticsDevelop and maintain real-time and batch data processing platformsDefine and implement data modeling standards for structured and unstructured dataCollaborate with engineering and product teams to translate business nee...
- Design and evolve scalable cloud-native data architectures for advanced analytics
- Develop and maintain real-time and batch data processing platforms
- Define and implement data modeling standards for structured and unstructured data
- Collaborate with engineering and product teams to translate business needs into solutions
- Optimize platform scalability cost and performance in cloud environments
- Establish architectural standards for data-driven decision-making
Qualifications :
- 8 years of experience in data architecture and engineering
- Strong experience with data engineering cloud computing services and solutions in the field of data and analytics. Azure is preferable
- Expertise in data analytics fundamentals such as dimensional modeling ETL reporting tools data governance data warehousing and structured and unstructured data
- Strong knowledge of SQL and solid practical experience with Python or Scala
- Strong experience with database development and data modeling ideally with Databricks or Spark
- Good understanding of big data databases such as Snowflake BigQuery etc. Snowflake is preferable
- Fluency in business English
Additional Information :
PERSONAL PROFILE
- Analytical and strategic thinker with a passion for data innovation
- Strong communication and stakeholder management skills
- Proactive in exploring and adopting emerging technologies
- Collaborative team player with experience working in international teams
Remote Work :
Yes
Employment Type :
Full-time
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