Lead Data Engineer

3 weeks ago

Singapore VANGUARD SOFTWARE PTE. LTD. Full time
Roles & Responsibilities

JOB SUMMARY

We are looking for a talented and experienced Lead Data Engineer to join our innovative team. The Lead Data Engineer will play a critical role in leading the design, development, and maintenance of our data infrastructure, pipelines, and analytical tools. The ideal candidate will have a strong technical background in data engineering, expertise in analytical tools, and proven leadership skills to mentor and guide a team of data engineers.

JOB DUTIES

  • Lead the design, development, and implementation of scalable and efficient data pipelines, databases, and data infrastructure.
  • Mentor, coach, and guide a team of data engineers, providing technical leadership and support.
  • Collaborate with data scientists, product managers, and business stakeholders to understand data requirements, facilitate data-driven decision-making, and deliver actionable insights.
  • Optimize database schemas, tables, and queries to support data storage, retrieval, and analysis.
  • Integrate and optimize analytical tools such as Tableau, Power BI, or Looker to enable advanced data analysis, visualization, and reporting capabilities.
  • Develop and enforce data engineering best practices, standards, and guidelines to ensure the quality, performance, and reliability of our data solutions.
  • Implement ETL processes to integrate data from various sources, ensuring data quality, consistency, and integrity.
  • Optimize data pipelines, queries, and infrastructure for performance, scalability, and cost-efficiency.
  • Monitor and troubleshoot data pipelines and infrastructure issues, and provide timely resolutions.
  • Stay up-to-date with the latest data engineering technologies, analytical tools, and best practices, and drive their adoption within the team.
  • Ensure data security, compliance with data governance and privacy regulations, and adherence to analytical tool licensing agreements.
  • Work closely with cross-functional teams to identify data needs and requirements, and deliver data solutions that meet business objectives.
  • Document data pipelines, processes, and best practices, and contribute to the development of data engineering documentation and standards.
  • Stay up-to-date with the latest data engineering technologies, tools, and best practices, and recommend their adoption as appropriate.

JOB REQUIREMENTS

  • Bachelor's degree in Computer Science, Information Systems, or equivalent work experience.
  • 8+ years of experience in data engineering, with at least 3 years in a lead or senior engineering role.
  • Proven leadership skills with experience in mentoring, coaching, and guiding a team of data engineers.
  • Strong technical background in designing and implementing data pipelines, databases, and analytical tools.
  • Proficiency in programming languages commonly used in data engineering such as Python, Java.
  • Hands-on experience with big data technologies and frameworks such as Hadoop, Spark, Kafka, and Hive.
  • Hands-on experience with analytical tools such as Tableau, Power BI, Looker, or similar platforms.
  • Solid understanding of relational and NoSQL databases, and experience with database design, optimization, and SQL querying.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
  • Experience with real-time data processing and streaming technologies (e.g., Apache Flink, Kafka Streams).
  • Excellent analytical and reasoning skills with an ability to anticipate outcomes of a solution.
  • Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
  • Strong sense of responsibility, initiative, and commitment.
  • Self-motivated, proactive, and able to work independently with minimal supervision.
  • Knowledge of data governance, data security, and compliance standards and best practices.
  • Maintain confidentiality of information processed or prepared.
  • Ability to lead, convince and inspire team members in a fast-paced environment.
  • Willingness to travel to meet and work with offshore team members.
  • Fluency in written and spoken English and Mandarin is highly desirable to liaise with Chinese speaking clients and counterparts.
Tell employers what skills you have

Scalability
Azure
Big Data
Pipelines
Hadoop
Data Transformation
ETL
Data Quality
Data Engineering
SQL
Python
Java
Power BI
Apache
Data Warehousing
Databases

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