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Senior Data Engineer – GCP & Apache Spark
Senior Data Engineer – GCP & Apache Spark

Senior Data Engineer – GCP & Apache Spark at NeoGenCode Technologies Pvt Ltd · Bengaluru (Bangalore) · 5 - 8 years · ₹20L - ₹35L / yr · Raised funding · Posted 14 Oct 2026

NeoGenCode Technologies Pvt Ltd's logo

Senior Data Engineer – GCP & Apache Spark

Akshay Patil's profile picture
Posted by Akshay Patil
5 - 8 yrs
₹20L - ₹35L / yr
Bengaluru (Bangalore)
Skills
Data engineering
Google Cloud Platform (GCP)
Apache Spark
Google BigQuery
SQL
PySpark
skill iconScala
GCP DataProc
Data Pipelines
Systems design
CI/CD
Debugging
Problem solving

Job Title : Senior Data Engineer – GCP & Apache Spark

Job Details :

  • Number of Positions : 3
  • Employment Type : Contract-to-Hire (C2H)
  • Experience Required : 5 to 8 Years
  • Location : Manyata Tech Park, Bengaluru
  • Work Mode : Hybrid – 3 Days in Office per Week
  • Preferred Notice Period : Immediate to 15–20 Days
  • Project Duration : Initially 6–8 months, with a strong possibility of extension for long-term projects
  • Relocation : Candidates from outside Bengaluru can apply if they are willing to relocate.


Role Overview :

We are looking for experienced Senior Data Engineers with strong expertise in Google Cloud Platform (GCP), Apache Spark, BigQuery, and SQL to design, develop, and maintain scalable data pipelines and distributed data processing solutions.

The ideal candidate should have hands-on experience with cloud-based data engineering, end-to-end pipeline architecture, system design, performance optimization, debugging, and CI/CD practices.


Mandatory skills :

Apache Spark (PySpark / Scala), SQL, GCP, BigQuery, GCP Dataproc, Data Pipelines, System Design, CI/CD, Debugging & Problem-Solving.


Key Responsibilities :

  • Design, develop, and maintain scalable data pipelines using Apache Spark, PySpark, and/or Scala.
  • Build and optimize batch and distributed data processing workflows on GCP.
  • Work extensively with BigQuery for data transformation, validation, analytics, and query optimization.
  • Develop and maintain data workflows using GCP services, including Dataproc, BigQuery, and Cloud Storage.
  • Design end-to-end data pipeline architectures with a focus on scalability, reliability, and performance.
  • Write and optimize complex SQL queries for large-scale datasets.
  • Troubleshoot and resolve data processing issues, pipeline failures, and performance bottlenecks.
  • Implement CI/CD practices for data engineering workflows, testing, and deployments.
  • Monitor pipeline performance and identify opportunities for continuous improvement.
  • Collaborate with cross-functional teams to understand requirements and deliver reliable data solutions.
  • Participate in code reviews, testing, production deployments, and production support.


Mandatory Skills :

  • Strong hands-on experience with Apache Spark, including PySpark and/or Scala.
  • Strong SQL skills and experience working with large-scale datasets.
  • Hands-on experience with Google Cloud Platform (GCP).
  • Practical experience with BigQuery and data warehousing concepts.
  • Working knowledge of GCP Dataproc.
  • Strong understanding of data pipelines, end-to-end workflows, and system design.
  • Practical experience with CI/CD and deployment processes.
  • Excellent debugging, troubleshooting, and problem-solving skills.


Preferred Skills :

  • Experience with Apache Airflow, Google Cloud Composer, or similar orchestration tools.
  • Knowledge of Kafka or other streaming and messaging technologies.
  • Proficiency in Python for data engineering and automation.
  • Experience with Git-based development workflows.
  • Knowledge of Linux/Unix environments and shell scripting.
  • Familiarity with monitoring, logging, data quality, and governance practices.


Required Qualifications :

  • 5 to 8 years of experience in Data Engineering, Big Data Engineering, or a related field.
  • Proven experience developing and maintaining scalable data pipelines.
  • Strong understanding of distributed data processing and cloud-based data architecture.
  • Ability to troubleshoot complex technical issues and optimize pipeline performance.
  • Strong communication, collaboration, and ownership skills.


Interview Process :

Round 1 : AI-Based Interview

  • Candidates must complete the AI interview as soon as possible after receiving the invitation.

Round 2 : Virtual Interview Drive

  • Interviews are planned for the upcoming drive; exact dates will be communicated separately.

Round 3 : Online Client Interview

  • Shortlisted candidates will attend the online interview.
  • Candidates must be available throughout the day on the scheduled interview date.
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About NeoGenCode Technologies Pvt Ltd

Founded :
2023
Type :
Services
Size :
20-100
Stage :
Raised funding

About

Welcome to Neogencode Technologies, an IT services and consulting firm that provides innovative solutions to help businesses achieve their goals. Our team of experienced professionals is committed to providing tailored services to meet the specific needs of each client. Our comprehensive range of services includes software development, web design and development, mobile app development, cloud computing, cybersecurity, digital marketing, and skilled resource acquisition. We specialize in helping our clients find the right skilled resources to meet their unique business needs. At Neogencode Technologies, we prioritize communication and collaboration with our clients, striving to understand their unique challenges and provide customized solutions that exceed their expectations. We value long-term partnerships with our clients and are committed to delivering exceptional service at every stage of the engagement. Whether you are a small business looking to improve your processes or a large enterprise seeking to stay ahead of the competition, Neogencode Technologies has the expertise and experience to help you succeed. Contact us today to learn more about how we can support your business growth and provide skilled resources to meet your business needs.

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Candid answers by the company

What does the company do?
What is the location preference of jobs?

IT & Engineering Talent Staffing

  • Provides full-time and contract-based hiring, delivering handpicked, pre‑screened developers across tech stacks—ranging from web, mobile, AI/ML, Web3/blockchain.
  • Maintains a bench o vetted candidates, offering fast delivery of interview-ready profiles—often within 24 hours.
  • Offers payroll management, handling compliance, tax, attendance, and documentation for both contractors and full-time employees.

2. End-to-End Project Delivery

  • Delivers full-stack development solutions: web, mobile, cloud, AI/ML, Blockchain/Web3.
  • Manages entire project lifecycle—requirements gathering, design (UI/UX), development, deployment, and ongoing support .

3. Additional Offerings

  • Expands into cybersecurity consulting, digital marketing, and cloud platform services (like AWS, GCP, Azure) .
  • Provides strategic IT consulting to align technology solutions with business objectives

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