Singularis Ventures is a world-of-work entity dedicated to developing innovative solutions to address the challenges therein. We are committed to shaping the future of work through our continuous pursuit of building networks, enhancing competencies, and promoting opportunities.

At Singularis, we are people centric and endeavors to shape the world of work to make a meaningful impact on the lives of people. Our culture and offerings are driven by values and principles deeply ingrained within our ethos. We are committed to developing a work environment that prioritizes human-centric solutions, positive societal impact, and the growth of individuals in the dynamic workplace.

Our cutting-edge platform leverages AI and machine learning to provide labour market insights, personalized career insights, learning & skill development resources, job matching capabilities and lifelong learning resources. We are incorporated in Singapore with global operations. We have recently established our global capacity centre in India to supplement an engineering team for a critical project for a UK based University Group.

Role Overview :

We are seeking a talented and experienced Data Engineer to join our team. The ideal candidate will have expertise in technologies such as Metabase, Dbt, Stitch, Snowflake, Avo, and MongoDB. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure to support our analytics and data-driven decision-making processes.

Responsibilities :

- Designing, developing and implementing scalable data pipelines and ETL processes using tools such as Stitch and Dbt to ingest, transform, and load data from various sources into our data warehouse ( Snowflake).

- Implement data modeling best practices and standards using Dbt to create and manage data models for reporting and analytics.

- Collaborating with cross-functional teams to understand data requirements and deliver solutions that meet business needs.

- Develop and maintain dashboards and visualizations in Metabase to enable self-service analytics and data exploration for internal teams.

- Building and optimizing ETL processes to ensure data quality and integrity.

- Optimizing data processing and storage solutions for performance, scalability and reliability, leveraging cloud based technologies.

- Implementing monitoring and alerting systems to proactively identify and address data issues.

- Implementing data quality checks and monitoring processes to ensure the accuracy, completeness, and integrity of data.

- Managing and optimizing databases (like MongoDB for performance and scalability).

- Developing and maintaining documentation, best practices, and standards for data engineering processes and workflows.

- Stay up-to-date with emerging technologies and trends in data engineering, machine learning, and analytics, and evaluate their potential impact on data strategy and architecture.

Requirements :

- Bachelor's or Master's degree in Computer Science.

- Minimum of 4 years of experience working as a data engineer with expertise in Metabase, Dbt, Stitch, Snowflake, Avo, MongoDB.

- Strong programming skills in languages like Python and experience with SQL and database technologies (e.g., PostgreSQL, MySQL, MongoDB).

- Hands-on experience with data integration tools (e.g., Stitch), data modeling tools (e.g., Dbt), and BI platforms (e.g., Metabase).

- Experience with cloud platforms such as AWS.

- Strong understanding of data modeling concepts, database design, and data warehousing principles

- Experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka) and cloud-based data platforms (e.g., AWS EMR, Azure Databricks, Google BigQuery).

- Familiarity with data integration tools, ETL processes, and workflow orchestration tools (e.g., Apache Airflow, Apache NiFi).

- Excellent problem-solving skills and attention to detail.

- Strong communication skills with the ability to work effectively in a global team environment.

- Experience in the education or Edtech industry is a plus.

- Knowledge of Avo for schema management and versioning will be an added advantage.

- Familiarity with machine learning algorithms, data science workflows, and analytics tools (e.g., TensorFlow, PyTorch, scikit-learn, Tableau).

- Knowledge of distributed computing concepts and containerization technologies.

- Experience with version control systems (e.g., Git) and CI/CD pipelines.

- Certifications in cloud computing (e.g., AWS Certified Developer, Google Cloud Professional Data Engineer) or data engineering (e.g., Databricks Certified Associate Developer) are desirable.

Benefits :

- Competitive salary and bonus structure based on performance and achievement of goals.

- Comprehensive benefits package including medical insurance.

Join us in shaping the future of technology by applying your expertise as a Data Engineer. If you are passionate about driving innovation and delivering impactful solutions, we invite you to be part of our dynamic team. Apply now !!

Must have Skills :

- Snowflake - 2 Years

- Metabase - 5 Years

- MongoDB - 2 Years