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Big Data

AccionLabs Open · verified Oct 24, 2026
On-site Singapore, , Singapore Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at AccionLabs. Singapore, , Singapore · full-time.

Pay not stated Data Engineering salary

RoleData Engineering
SeniorityMid-level
LocationSingapore, , Singapore
WorkplaceOn-site
EmploymentFull-time
PostedApr 27, 2017 · 9y ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Design architecture for Hadoop ecosystem projects using Spark, Hive and Impala
  • Build big data solutions with Ab Initio, Java and Python
  • Use Rev R and Oracle PLSQL in Hadoop ecosystem development

What you bring

  • You have experience developing architecture for the Hadoop ecosystem
  • You bring Spark experience, plus experience with Hive, Impala or another listed technology

Who this fits

This onsite role suits someone focused on Hadoop ecosystem architecture and big data development. Spark is required, alongside experience with the other named technologies.

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:- Big Data

Job Description

Must have:

• Hadoop Ecosystem Architecture

Development experience of following

• Spark (Mandatory)

• Hive

• Impala

• Ab Initio

• Java

• Python

• Rev R

• Oracle PLSQL

Following skills are good to have

• Datameer

• Platflora

• Any other development or analytic tool in Big Data


All your information will be kept confidential according to EEO guidelines.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.