Find Job

Data AnalystCapgemini

Workplace: MetroManila, Manila
Salary: Agreement
Work form: Full time
Posting Date: 07/01/2026
Deadline: 11/11/2022

This job has expired, you can refer to some similar jobs here:


Short Description
Data Engineer will report to the Feature Lead/Project Manager on the program or the lead solution designer or architect. He/She will take direction from the CG or client project manager for work and technical design from the solution designer or architect.
Qualifications
Prior experience as a data engineer
Hands-on experience in Cloud Computing - AWS preferably
Experience in programming and shell scripting eg. Core/Python/Scala/Java
Experience in Hadoop Stack eg. Hive, Spark (Core and Streaming), Kafka, Flink, NIFI;
Experience with Github and Jenkins;
Experience working on stream transform using Spark Streaming or Flink;
Experience working on change data capture in a big data ecosystem;
Experience in building real time or batch ingestion and transformation pipelines;
Experience in data orchestration tools (Airflow is preferred)
Job Responsibilities
Leading complex business reengineering development projects and to solve organizational problems through IT solutions using Big Data concepts, Platform tools and software engineering languages as required
Designing, developing and implementing solutions to customers organizational problems
Providing high quality service delivery on engagements
Designing and developing data reconciliation & metadata driven data processing frameworks
Ref: 1548103
Posted on: Oct 10, 2022
Experience level: Experienced Professional
Contract Type: Permanent Full Time
Location:
Manila, 01, PH
Department: Financial Services
Capgemini

Other Info

Manila City, Metro Manila
Permanent
Full-time

Submit profile

Capgemini

About the company


Position Data Analyst recruited by the company Capgemini at MetroManila, Manila, Joboko automatically collects the salary of , finds more jobs on Data Analyst or Capgemini company in the links above

About the company

  • Employer support:
  • +84 962.107.888