Design, develop, and optimize scalable batch and real-time data pipelines on GCP. Implement Medallion Architecture, build Python and PySpark transformations, optimize BigQuery and SQL workloads, deploy Dataflow pipelines, and orchestrate workflows with Cloud Composer and Airflow. Manage GCS storage, CI/CD, version control, IAM, data governance, security, reliability, scalability, and cost efficiency across enterprise data platforms.
This is a remote position.
KANINI is seeking a highly skilled Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture. The ideal candidate will have hands-on experience designing scalable data pipelines, implementing Medallion Architecture, and building robust enterprise-grade data solutions.
This role requires strong technical proficiency in BigQuery, PySpark, Dataflow, and Airflow, along with a solid understanding of cloud data governance, performance optimization, and CI/CD practices.
Key Responsibilities
- Design, develop, and maintain scalable batch and real-time data pipelines on GCP
- Implement and manage Medallion Architecture (Bronze, Silver, Gold layers) for data processing
- Build high-performance data transformations using Python and PySpark
- Develop and optimize complex SQL queries for analytical workloads
- Work extensively with BigQuery for large-scale data processing and performance tuning
- Develop and deploy pipelines using Cloud Dataflow
- Orchestrate workflows using Cloud Composer (Apache Airflow)
- Manage data storage and lifecycle using Google Cloud Storage (GCS)
- Implement version control and CI/CD pipelines using Git-based tools
- Ensure data security, governance, and access control using GCP IAM
- Optimize data solutions for performance, scalability, reliability, and cost-efficiency
Required Skills & Experience
- Strong hands-on experience with Google Cloud Platform (GCP)
- Expertise in BigQuery (partitioning, clustering, query optimization)
- Proven experience implementing Medallion Data Architecture
- Strong programming skills in Python and PySpark
- Hands-on exposure on Java
- Advanced proficiency in SQL (complex joins, window functions, performance tuning)
- Hands-on experience with Cloud Dataflow
- Experience with Cloud Composer (Airflow) for orchestration
- Experience working with Google Cloud Storage (GCS)
- Knowledge of version control systems (Git) and CI/CD practices
- Strong understanding of GCP IAM and cloud security best practices
Preferred Qualifications
- Experience working with large-scale enterprise data platforms
- Knowledge of data warehousing and data lake concepts
- Familiarity with real-time streaming frameworks
- Experience in data governance and data quality frameworks
- Exposure to
Similar Jobs
Digital Media • Fintech • Information Technology • Machine Learning • Financial Services • Cybersecurity • Automation
Supports private bankers and relationship managers by delivering white-glove client service, assisting with account openings and documentation, maintaining client relationships, identifying business opportunities, and supporting compliance, fraud monitoring, marketing materials, and administrative activities. Provides backup coverage, participates in business development calls, and develops knowledge of deposit, trust, wealth management, and loan products.
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Provide high-level administrative support to sales executives including calendar, travel, expense reporting, and confidential communication. Prepare reports and sales materials using PowerPoint, Excel, and CRM. Plan and execute internal and external sales events and offsites. Liaise with clients and internal teams, multitask under pressure, and travel a few times a year.
Top Skills:
CoupaCRMExcelGoogle SuiteNavanPowerPointSlack
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Lead a team supporting Enterprise and Strategic accounts across the quote-to-cash lifecycle. Build dashboards and analytics to track operational metrics and SLAs, partner cross-functionally to design scalable workflows, and drive process improvements and projects to completion.
Top Skills:
AIExcelSQL
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
