Gcp Data Engineer

Acesoft Labs; Pune District; On-site; INR 1,800,000 - 2,100,000; Full time

Job summary

Acesoft Labs in Pune is hiring a GCP Data Engineer with 5+ years of experience to design and manage cloud-based data pipelines. You will work with Python, SQL, and GCP tools to deliver scalable data solutions.

The role requires hands-on expertise in Airflow, Terraform, and Big Data technologies, with emphasis on end-to-end data orchestration and real-time processing. Immediate joining preferred.

Qualifications

• 5+ years of data engineering experience in cloud environments.
• Experience building data pipelines and ETL frameworks (batch and real-time).
• Proficient in Python and SQL.
• Hands-on with GCP: Apache Beam, Data Flow, Data Fusion.
• Experience with Terraform for IaC.
• Experience with Big Data tech (Spark, BigQuery) in enterprise setups.
• End-to-end orchestration with Cloud Composer or Dataform is highly desired.
• Airflow is a must.

Responsibilities

• Design, develop and maintain scalable data pipelines on GCP.
• Collaborate with operations and architecture teams to deliver reliable data products.
• Monitor, optimize and document data workflows for performance and maintainability.

Skills

GCP

Python

SQL

ETL pipelines

Airflow

Terraform

Big Data

Dataflow

Tools

Apache Beam

Dataflow

Data Fusion

BigQuery

Job description

Hi all,

We are hiring for the role GCP DATA ENGINEER

Experience: 5+ Years

Location: Pune

Notice Period: Immediate - 15 days

Budget: 18 LPA only

Skills:

• Ideally you will have a background in software engineering along with experience in working in a
• complex cloud environment ( Google Cloud Platform)
• Ideally you will have experience working with Python and SQL.
• You have experience building data pipelines and ETL frameworks both batch and real time using
• Python and any of the GCP capabilities such Apache Beam, Data Flow, Data Fusion
• You have Experience with using Terraform to build Infrastructure-as-a-code
• Experience working with Big Data Technologies (Spark, Cloud SQL, Big Query ) preferably in an
• Enterprise environment.
• Experience in orchestrating end-end data pipelines with tools like c loud composer, Dataform is
• highly desired.
• Experience in managing complex and reusable dataflow pipelines is highly desired.
• Experience with Airflow is must.
• Experienced working with operations and architecture groups developing scalable and supportable
• solutions (desired but not mandatory)
• Understand customer needs to make sound judgments
• Pays attention to the detail and demonstrates problem solving capability to develop and deliver
• quality solutions.
• Understanding of current state landscape and relevant technologies.