Back to Browse Jobs
DynPro Inc.
Create a free account
One signup unlocks everything for this job:
- See your personalized profile match score
- See the skills this role is missing for you
- Apply to this job and track your application
- Generate an AI cover letter for this role
Bengaluru · Hybrid · 4-7 Yrs · Oct 15
2 open roles1 posted in 7d2 in 30d
Hiring: Engineering
Job description
Hybrid
Overview
Data Engineer Scala Spark GCP Location
Responsibilities
- Design and develop scalable data pipelines using Scala and Apache Spark.
- Build, deploy, and optimize Spark applications on GCP Dataproc.
- Develop and maintain data ingestion, transformation, and processing frameworks.
- Create and optimize complex SQL queries in BigQuery.
- Implement ETL/ELT workflows for large-scale data processing.
- Work with Google Cloud Storage (GCS) for data storage and management.
- Develop automation scripts using Unix/Linux Shell Scripting.
- Participate in code reviews and follow development best practices.
- Manage source code using Git and support CI/CD implementation.
- Troubleshoot performance issues and optimize Spark jobs.
- Collaborate with cross-functional teams to understand business and technical requirements.
- Maintain technical documentation and operational procedures.
- Data Engineering Experience: 4-6 Years
- ETL/ELT Development
- Data Pipeline Design & Optimization
- Scala Programming
- Apache Spark Core
- Spark SQL
- Spark Performance Tuning
- Distributed Data Processing
- Spark Optimization Techniques
- Google Cloud Platform (GCP)
- Dataproc
- BigQuery
- Google Cloud Storage (GCS)
- Advanced SQL
- BigQuery SQL
- Query Optimization
- Data Modeling
- Linux
Qualifications
- IBMFG2JP00041762
- IBMFG2JP00041761
- Good Understanding of Git and CI/CD Processes
- Strong Problem-Solving & Debugging Skills
- Excellent Communication Skills
- Available for Face-to-Face Interviews in Bangalore
- Willing to work in Hybrid Model (3 Days WFO at Manyata)
- Keywords for Job Posting
- Scala, Apache Spark, Spark SQL, GCP, Google Cloud Platform, Dataproc, BigQuery, Google Cloud Storage, GCS, Data Engineer, ETL, ELT, SQL, Linux, Unix, Shell Scripting, Git, CI/CD, Python, Data Governance, Data Quality, Metadata Management, Spark Optimization, Distributed Computing, Cloud Data Engineering.
Nice to have
- Python Development
- Data Governance
- Data Quality Frameworks
- Metadata Management
- Cloud Migration Projects
- Agile/Scrum Methodology
- Hands-on experience with Scala-based Spark Development
- Strong GCP experience including Dataproc and BigQuery
Verify Python for this role
Free PRACTICE for Python adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Python free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 18 October 2026
- How do I apply for Data Engineer (Scala Spark + GCP)_ Immediate jiner_5+ Yrs_BanLor_F2F at DynPro Inc.?
- 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. DynPro Inc. may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer (Scala Spark + GCP)_ Immediate jiner_5+ Yrs_BanLor_F2F 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 Data Engineer (Scala Spark + GCP)_ Immediate jiner_5+ Yrs_BanLor_F2F remote or on-site in Bengaluru, Karnataka?
- This listing is marked hybrid with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Data Engineer (Scala Spark + GCP)_ Immediate jiner_5+ Yrs_BanLor_F2F role at DynPro Inc.?
- This is a mid-level Data Engineer (Scala Spark + GCP)_ Immediate jiner_5+ Yrs_BanLor_F2F role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.