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Jobs in Singapore   »   Jobs in Singapore   »   Information Technology Job   »   Data Engineer(Snowflake and Kafka)
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Data Engineer(Snowflake and Kafka)

Apar Technologies Pte. Ltd.

Apar Technologies Pte. Ltd. company logo

Job Description

We are seeking an experienced Senior Data Architect with extensive expertise in Snowflake Data Warehouse and data engineering to join our team. This role requires an individual with a deep understanding of data architecture principles, a strong foundation in data warehousing and ETL processes, and hands-on experience in building large-scale data solutions. The ideal candidate should have experience with data pipelines, orchestration, data quality, and governance, along with a robust technical background in Snowflake, Python, and streaming services.

Responsibilities

  • Architect and Implement Snowflake Solutions: Design and oversee the implementation of large-scale data intelligence solutions leveraging Snowflake DW.
  • Data Pipeline and Platform Development: Build, optimize, and manage data pipelines, orchestration tools, and data governance frameworks to ensure efficient data flows and high-quality data output.
  • Strategic Data Analysis: Perform data quality checks, enforce data governance standards, and apply data quality rules to maintain data integrity.
  • Data Engineering & Streaming Services: Utilize expertise in Python or Scala, and work with streaming services such as Kafka to support real-time data processing and analytics.
  • Work with Semi-Structured Data: Effectively handle semi-structured data formats, ensuring seamless integration with the Snowflake platform.
  • SQL Proficiency: Develop complex SQL queries and leverage SQL proficiency for advanced data manipulation, analysis, and integration tasks.
  • Architectural Design: Lead architecture and design efforts for Snowflake DW, establishing best practices for scalable, high-performance data environments.

Qualifications

  • Experience: 10+ years in IT, with a strong focus on data architecture and engineering.
  • Snowflake Expertise: In-depth knowledge of Snowflake architecture, functions, and data warehousing concepts.
  • ETL and Data Modeling: Advanced understanding of ETL processes, data warehousing, and data modeling structures.
  • Programming Skills: Proficiency in Python or Scala, with experience in data processing and engineering tasks.
  • Streaming Services: Solid experience with Kafka or similar streaming services.
  • Data Governance and Quality: Proven ability to establish and maintain data quality standards, governance policies, and best practices for data integrity.
  • Communication and Design: Strong analytical and architectural design skills, with the ability to clearly communicate complex technical concepts to diverse stakeholders.

This role is perfect for a highly skilled data architect who excels in designing and implementing robust Snowflake-based solutions and is passionate about leveraging cutting-edge data technologies.



EA License Number : 11C4879


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