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Aqilea (formerly Soltia)

GCP Data Engineer 1

Aqilea (formerly Soltia) Bangalore, Karnataka, India

IT Services and IT Consulting · 51-200 employees

Aug 10
data-engineer Senior (5-10 yrs) Full-time India
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About the role

You will be responsible for building and supporting robust data pipelines while ensuring performance, scalability, and cost-efficiency. Additionally, you will collaborate with product managers and business stakeholders to provide production support and troubleshooting.

What they look for

GCP BigQuery Data Engineering Python SQL CI/CD Terraform Docker Spark Beam Hive dbt Data Mesh Data Governance Cloud Infrastructure Production Support

Requirements

Candidates must have 5-8 years of data engineering experience with strong proficiency in GCP services like BigQuery and Dataflow. Proficiency in Python, SQL, and infrastructure tools like Terraform and Docker is required.

Full description

Company Description

Aqilea is an IT and engineering consulting partner that helps companies get more out of their technology and operations. With teams in Stockholm and Bangalore, we work closely with our clients to build solutions that fit their needs - from software development, AI and infrastructure engineering to industrial automation and embedded systems.

We combine strong technical expertise with a practical, business-focused approach to help organizations modernize, improve security, and scale with confidence. Above all, we focus on long-term partnerships built on trust, quality, and real results.

With us, you have great opportunities to take real steps in your career and the opportunity to take great responsibility.

Data Engineer

Experience: 5–8 years

Work Location: Bangalore (Hybrid)

Main requirements:

  • Strong Data Engineering experience building and supporting data pipelines.
  • Strong GCP knowledge — especially BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Run, etc.
  • Experience with CI/CD, Terraform, Git, Docker, and cloud infrastructure.
  • Good knowledge of Python and SQL.
  • Experience with Spark / Beam / Hive is an advantage.
  • Production experience with dbt.
  • Knowledge of Parquet, Avro, Iceberg, Hudi.
  • Understanding of Data Mesh, Data Products, Data Governance, Security, and Data Quality.
  • Ability to optimize pipelines for performance, scalability, reliability, and cost.
  • Experience working with Product Managers, analytics teams, and business stakeholders.
  • Strong production support and troubleshooting skills.

Notice Period – Immediate to 15 Days

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