Senior Data Engineer

1 month ago

Delhi, India Aloha Consulting Group Full time
Job DescriptionACG_1944_JOB

Our client is a leading tech company who is looking for a qualified candidate to join their firm:

Develop and execute the data processing pipeline on Google Cloud Platform (GCP).

Collaborate with Implementation teams throughout the entire lifecycle, from conceptualization to operationalization, providing in-depth technical expertise for deploying large-scale data solutions within the enterprise using modern data and analytics technologies on GCP.

Create designs for data processing pipelines and architectures.

Implement DevOps automation methods for all components of the data pipelines to facilitate seamless deployment from development to production environments.

Translate business challenges into technical data problems while ensuring alignment with key business objectives in partnership with product management.

Perform data extraction, loading, transformation, cleaning, and validation tasks.

Offer support and troubleshoot issues within the data pipelines.

Requirements

At least 5 years of experience as a Data Engineer or relevant roles

Strong Cloud-based Data Engineering experience in either AWS, Azure or GCP

Demonstrated record of successful design and execution of large-scale and complex data solutions using various architectural patterns such as Microservices

Familiar with Advanced SQL and Python skills

Familiar with DataOps

Experience in using DevOps while working on Cloud data platforms (Terraform for Infrastructure as Code (IaC), GitOps or using Docker, Kubernetes

Decent education background of IT and ICT

Fluent in English speaking

Experience working with Marketing domains is preferred

Benefits

Hybrid working mode (3 working days at office and flexible working time)

Attractive salary base with 13th-month salary and performance bonuses

18 paid leaves annually

Insurance plan based on full salary

100% full salary and benefits as an official employees during probation

Medical benefits for employee and family

Internal training

Free snacks, refreshment, and parking

Contact: Dung Nguyen

Due to the immense number of applications, only shortlisted candidates will be contacted

RequirementsAt least 5 years of experience as a Data Engineer or relevant roles Strong Cloud-based Data Engineering experience in either AWS, Azure or GCP Demonstrated record of successful design and execution of large-scale and complex data solutions using various architectural patterns such as Microservices Familiar with Advanced SQL and Python skills Familiar with DataOps Experience in using DevOps while working on Cloud data platforms (Terraform for Infrastructure as Code (IaC), GitOps or using Docker, Kubernetes Decent education background of IT and ICT Fluent in English speaking Experience working with Marketing domains is preferred

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