Senior Data Engineer - Singapore - JCO ANALYTICS PTE. LTD.

JCO ANALYTICS PTE. LTD.

Verified Company

Singapore

2 weeks ago

Posted by:

Wei Jie

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Description

Senior Data Engineer

Job Description & Requirements

Data Analyst / Engineer Job Responsibilities:
Lead a team of data engineers, providing guidance, mentorship, and support to achieve project objectives and professional growth.

Work closely with stakeholders to understand their data needs and translate them into technical requirements.
Lead the adoption of agile methodologies and facilitate effective communication and collaboration within the team and across departments.
Manage project timelines, resource allocation, and priorities to meet deadlines and deliverables.
Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
Writes unit/integration tests, contributes to engineering wiki, and documents work.
Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
Works closely with a team of frontend and backend engineers, product managers, and analysts.
Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
Designs data integrations and data quality framework.
Designs and evaluates open source and vendor tools for data lineage.
Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.

Data Analyst / Engineer Qualifications / Skills:

Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
Experience with or knowledge of Agile Software Development methodologies
Excellent problem solving and troubleshooting skills
Process oriented with great documentation skills
Excellent oral and written communication skills with a keen sense of customer service

Education, Experience, and Licensing Requirements:

BS Computer Science or a related technical field.
Experience with objectoriented/object function scripting languages: Python, Java,C++, Scala, etc.
Advanced work SQL knowledge or experience (No-SQL experience is a plus).
Experience with schema design and dimensional data modelling.
Experience working with either a Map Reduce or an MPP system on any size/scale.
Experience designing, building, and maintaining data processing systems.
Indepth knowledge of data modeling, data warehousing, and ETL principles.
Demonstrated experience with cloudbased data platforms (e.g., AWS, Azure, GCP) and associated services (e.g., S3, Redshift, BigQuery).
Familiarity with data visualization and business intelligence tools (e.g., Tableau, Power BI) is a plus.
Excellent problemsolving skills and the abilit to work in a fastpaced, dynamic environment.
Strong leadership abilities, including the ability to motivate and inspire a team, foster collaboration, and resolve conflicts.
Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to nontechnical stakeholders.