Geektrust
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Information Technology Support Services · 1 to 50 Employees · Bengaluru, India
We are an online platform that helps developers fulfil their potential. By connecting you with unique, interesting opportunities. Those that stretch you, and challenge you. All of us at GeekTrust are technologists (having worked for companies like ThoughtWorks, Altair and Cricinfo) and we know that getting into the job market is a hassle. It shouldn't be. We built GeekTrust to make the whole experience of exploring the market a pleasant one. Something we would use. So sign up, write code, and based on your coding prowess, companies get in touch with you. All this while your personal details are not shared with the company. If you want to know which startups are interested in hiring you, how do you do that without getting into the job market? GeekTrust helps you find out.
Hiring: Engineering
What employees say
+ Timely salary, supportive management, overall positive
− Depends on client. Haven't noticed anything so far
More reviews on the company profile.
Interview experience · Sr iOS Developer
Interview process has 3 rounds, 1. Basic technical round with followed by some coding questions 2. Technical round with the client but kind of live assignment round and 1 small LLD question 3. HR round and salary discus
Average difficulty · India · 5 reports
More interview insightsJob description
Overview
Mid Data Engineer – GCP & Spark • 5–8 years of experience in Data Engineering, Big Data Engineering, or related roles.
Responsibilities
- We are seeking a highly skilled Senior Data Engineer to design, develop, and support scalable data pipelines and large-scale data processing solutions within the Google Cloud Platform (GCP) ecosystem. The ideal candidate will have strong hands-on experience with Spark, BigQuery, Dataproc, SQL, and cloud-based data engineering practices.
- This role requires a strong understanding of end-to-end data pipeline architecture, system design, debugging, performance optimization, and CI/CD practices. The engineer will work closely with data engineering, analytics, and platform teams to build reliable, scalable, and high-performing data solutions.
- Design, develop, and maintain scalable data pipelines using Apache Spark (PySpark or Scala).
- Build and optimize batch and distributed data processing workflows on GCP.
- Work extensively with BigQuery for data transformation, analytics, validation, and reporting.
- Develop and maintain data workflows using GCP services such as Dataproc, BigQuery, and Cloud Storage.
- Design end-to-end data pipeline architectures with a focus on scalability, reliability, and performance.
- Write efficient and optimized SQL queries for large-scale datasets.
- Troubleshoot, debug, and resolve complex data processing and performance issues.
- Implement CI/CD best practices for data engineering workflows.
- Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions.
- Participate in code reviews, testing, deployment, and production support activities.
- Monitor pipeline performance and identify opportunities for optimization and continuous improvement.
Qualifications
- Strong hands-on experience with Apache Spark (PySpark and/or Scala).
- Strong SQL skills with experience working on large-scale datasets.
- Hands-on experience with Google Cloud Platform (GCP).
- Practical experience with BigQuery and data warehouse concepts.
- Strong understanding of data pipelines and end-to-end workflow design.
- Strong debugging, troubleshooting, and problem-solving skills.
- Good understanding of CI/CD practices and deployment processes.
- Knowledge of monitoring, logging, and observability practices.
- Exposure to data governance, data quality, and metadata management frameworks.
- Strong analytical and problem-solving abilities.
- Excellent communication and collaboration skills.
- Ability to work effectively in cross-functional teams.
- Proactive mindset with a focus on operational excellence and continuous improvement.
- Strong ownership and accountability in delivering reliable data solutions.
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Job application FAQ
Last updated 3 October 2026
- How do I apply for Mid Data Engineer – GCP & Spark at Geektrust?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Geektrust may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Mid Data Engineer – GCP & Spark role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Mid Data Engineer – GCP & Spark remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Mid Data Engineer – GCP & Spark role at Geektrust?
- This is a mid-level Mid Data Engineer – GCP & Spark role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.