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Senior GCP Data Engineer

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Onsite

Senior GCP Data Engineer

Calsoft

Senior GCP Data Engineer

Skills

Google Cloud PlatformSQL QueriesLookerData EngineeringTableauPythonC#KafkaSnowflakeData AnalysisAWSNotionJiraConfluenceTalendPower BIAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

28 August 2026

What they need


Greetings from Calsoft !

Position Details

Position

Data Engineer

Job Type

Permanent

Experience

6+ Years

Location

Pune/ indore/ Bangalore / Kolkata

Work Mode

Hybrid (3 Days Work from Office)

About Calsoft Technologies

Calsoft is a leading technology-first partner providing digital and product engineering services. For over 25 years, Calsoft has been helping customers solve complex business challenges across storage, virtualization, networking, security, cloud, AI/ML, IoT, and telecommunications domains.

Our mission is to discover innovative ways to solve customer problems through agility, technological innovation, and strong engineering expertise. With offices across multiple countries, thousands of innovators, and a Fortune 500 customer base, Calsoft has built a truly global presence.

Learn more about us: www.calsoftinc.com

Job Description & Requirements

Role Overview

Please find below the Job Description for the Senior Data Engineer / Cloud Data Engineer role.

Role: Senior Data Engineer / Cloud Data Engineer

Key Responsibilities & Requirements:

  • Experience working in a production data environment, with responsibility for building, maintaining, and supporting data pipelines and data platforms.
  • Hands-on experience in cloud data migration and platform modernization, including planning, execution, and production support during and after migration.
  • Strong experience with BigQuery and Snowflake, along with cloud-based data architectures. Ability to design, optimize, and operate scalable cloud data solutions.
  • Experience migrating, supporting, and maintaining BI/reporting platforms such as Looker. Mode experience is an added advantage.
  • Strong proficiency in SQL and Python, with the ability to troubleshoot complex data quality, performance, and integration issues.
  • Hands-on experience with ETL/ELT tools, preferably Talend, and modern data pipeline patterns covering ingestion, transformation, orchestration, and monitoring.
  • Experience building and managing marketing data integrations with search engines, social media platforms, and other third-party marketing data sources.
  • Strong experience with internal and external API integrations, including data ingestion, validation, monitoring, and maintenance.
  • Good understanding of data warehousing concepts, including dimensional modeling, performance optimization, and cost-efficient cloud data design.
  • Ability to own and deliver complex technical solutions end-to-end, covering design, implementation, deployment, and production support.
  • Experience with at least one major cloud platform: AWS / GCP / Azure.
  • Experience with distributed data technologies/frameworks such as Spark or Kafka.
  • Strong programming skills in at least one of Python / C# / SQL.
  • Ability to work independently and collaborate effectively with Engineering, Analytics, Product, and Business teams.
  • Experience with development and collaboration tools such as Git and Jira.
  • Experience with BI platforms such as Tableau / Looker / Power BI.
  • Strong communication skills with the ability to explain complex technical concepts to diverse audiences.
  • Experience creating technical documentation, architecture diagrams, and data flows using tools such as Miro, Lucidchart, draw.io, Confluence, or Notion.

Core Skills:
BigQuery | Snowflake | SQL | Python | Cloud Data Engineering | AWS/GCP/Azure | ETL/ELT | Talend | Data Pipelines | Data Warehousing | API Integration | Marketing Data Integration | Looker | Spark/Kafka | Git | Jira

Interview Process:

  1. Test In person In office
  2. L1 Interview
  3. L2 Interview
  4. Client Interview

Shanti Upase

Email: [email protected]

Address: Corporate Headquarter, S. No 320/1/C,

Bavdhan (B), Tal Mulshi, Pune 411021.

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