Role Overview
Wissen Technology is hiring a senior-level Databricks Engineer- GCP Cloud. This is a full-time role in IN. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Role Overview:
You will be responsible for building and maintaining scalable, distributed, fault-tolerant data pipelines on GCP, including BigQuery-based lakehouse layers and Dataproc-driven Delta Lake workflows. Your role will also involve actively participating in meetings with various stakeholders across data engineering, compliance, and business teams globally.
Key Responsibilities:
- Build and maintain scalable, distributed, fault-tolerant data pipelines on GCP, including BigQuery-based lakehouse layers and Dataproc-driven Delta Lake workflows
- Actively participate in meetings with various stakeholders across data engineering, compliance, and business teams globally
- Understand market data processing and transformation needs; build pipelines to acquire, normalize, transform, and release large volumes of financial data through the OMDP data factory
- Design and implement bitemporal data models (valid-time + system-time) on BigQuery to support certified, regulatory-grade time-series datasets
- Build, use, and maintain software testing frameworks (unit / non-regression / user acceptance) for data pipelines and transformation logic
- Take complete ownership of solutions and assigned tasks, including ingestion pipelines, QA workflows, correction management, and audit trail implementation
- Work in a collaborative manner with other team members and contribute to shared platform services rather than vertical-specific implementations
- Have business acumen to understand financial concepts around reference data related to equities and other asset classes
- Support teams across data and technology in implementing AI solutions and integrating their services with MSCI's data science products and platforms, including AI-assisted ingestion, anomaly detection, and semantic search over the lakehouse using Vertex AI
Qualification Required:
- 6-8 years of experience in data engineering
- Proficient in Python programming data pipeline development, transformation logic, and automation scripts
- Proficient in data query and analysis using SQL, with strong hands-on experience in BigQuery partitioning, clustering, materialized views, and time-series query patterns at scale
- Hands-on experience building and scheduling pipelines using Cloud Composer (Apache Airflow) DAG authoring, SLA alerting, retry logic, and dependency management
- Working knowledge of Dataproc (Apache Spark) batch ingestion, Delta Lake merge operations, and incremental data processing
- Proficient in AI-assisted development tools such as GitHub Copilot, Cursor, or others for accelerating code generation and enhancing developer productivity
- Code versioning and collaboration using Git branching strategies, pull request workflows, and pipeline-as-code practices
- Familiarity with REST APIs consuming external data vendor APIs and building service-layer integrations
- Familiarity with GCP cloud technologies Cloud Storage, Pub/Sub, Datastream, Cloud Monitoring, IAM, and VPC Service Controls
Note: For more information about Wissen Technology, please visit their official website at www.wissen.com. Role Overview:
You will be responsible for building and maintaining scalable, distributed, fault-tolerant data pipelines on GCP, including BigQuery-based lakehouse layers and Dataproc-driven Delta Lake workflows. Your role will also involve actively participating in meetings with various stakeholders across data engineering, compliance, and business teams globally.
Key Responsibilities:
- Build and maintain scalable, distributed, fault-tolerant data pipelines on GCP, including BigQuery-based lakehouse layers and Dataproc-driven Delta Lake workflows
- Actively participate in meetings with various stakeholders across data engineering, compliance, and business teams globally
- Understand market data processing and transformation needs; build pipelines to acquire, normalize, transform, and release large volumes of financial data through the OMDP data factory
- Design and implement bitemporal data models (valid-time + system-time) on BigQuery to support certified, regulatory-grade time-series datasets
- Build, use, and maintain software testing frameworks (unit / non-regression / user acceptance) for data pipelines and transformation logic
- Take complete ownership of solutions and assigned tasks, including ingestion pipelines, QA workflows, correction management, and audit trail implementation
- Work in a collaborative manner with other team members and contribute to shared platform services rather than vertical-specific implementations
- Have business acumen to understand financial concepts around reference data related to equities and other asset classes
- Support teams across data and technology in implementing AI solutions and integrating their services with MSCI's data science products and platforms, including AI-assisted ingestion, anomaly detection, and semantic search over the lakehouse using Vertex AI
Qualification Required:
- 6-8 years of ex
Frequently Asked Questions
How do I apply for the Databricks Engineer- GCP Cloud position at Wissen Technology?
Use the Apply button above to submit your application directly to Wissen Technology. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Databricks Engineer- GCP Cloud position at Wissen Technology located?
This position is based in IN. Wissen Technology has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Databricks Engineer- GCP Cloud at Wissen Technology earn?
Wissen Technology has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Databricks Engineer- GCP Cloud role at Wissen Technology posted?
This role was posted on April 8, 2026 (61 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Databricks Engineer- GCP Cloud role at Wissen Technology require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Wissen Technology lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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