Sr Big Data Engineer
AccionLabs Open · verified Oct 24, 2026 At a glance
Senior Data Engineering role at AccionLabs. Singapore, , Singapore · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build pipelines that process gigabytes or terabytes of data, accounting for the challenges of large datasets
- Shape schemas and data models to support efficient analytical queries, then create data checks
- Apply Kafka, Storm or similar named systems to real-time and stream-processing work
- Use Java or Python with PySpark, git, Hadoop, HDFS or Spark across development tasks
What you bring
- At least three years in professional software development, using Java, Python or another listed language
- A computer science degree at bachelor's or master's level, or a related degree
- Strong grounding in analytics, big-data systems, large-scale pipelines, modeling and validation
- Analytical and debugging ability, plus experience with Scrum or another agile method in JIRA
Who this fits
This senior, on-site role suits an engineer who can handle large datasets and work across pipelines, data modeling and stream processing. You'll need to manage project work and time effectively.
From the employer
Accion Labs is a global technology services firm with offering a full range of product life-cycle services in the emerging technology segment. This includes Web 2.0, Open Source, SaaS/Cloud, Mobility, IT Operations Management/ITSM, Big Data and traditional BI/DW.
Through nine global offices and a rapid-response delivery model, Accion offers a range of engagement models such as turn-key projects, extended-teams, shared-IP development, offshore-leveraged engagements and professional staffing (contract, contract-to-hire & direct perm).
Role:- Sr Big Data Engineer
Job Description
· 3+ years of professional software development experience with languages and systems such as Java, Python (PySpark), and version control (git), with good analytical & debugging skills.
· Big data: You have extensive experience with data analytics, and working knowledge of big data infrastructure such as Hadoop Eco System, HDFS, Spark, and AWS or Google or Azure (nice to have). You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets.
· Data Modeling: Flair for data, schema, data model, PL/SQL,Star & snow flake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques.
· Real Time Systems: Understands evolution of databases for in-memory, NoSQL& indexing technologies along with experience on real-time & stream processing systems like kafka, Storm.
· Project management: You demonstrate excellent project and time management skills, exposure to scrum or other agile practices in JIRA.
· CS fundamentals: You have earned at least a B.S. / MS in Computer Science, or related degree AND you have a strong ethos of continuous learning.
All your information will be kept confidential according to EEO guidelines.
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