Mid-Level Data Engineer – GCP & Spark at NeoGenCode Technologies Pvt Ltd · Bengaluru (Bangalore) · 5 - 8 years · ₹20L - ₹35L / yr · Raised funding · Posted 14 Oct 2026
ScalaPosition : Mid-Level Data Engineer – GCP & Spark
Open Positions : 3
Employment Type : Contract-to-Hire (C2H)
Location : Target, Manyata Tech Park, Bengaluru
Work Mode : Hybrid – 3 days in office per week
Notice Period : Candidates who can join within 15–20 days
Role Overview :
We are looking for skilled Data Engineers with strong hands-on experience in Google Cloud Platform (GCP), Apache Spark, BigQuery, SQL, and distributed data processing.
The ideal candidate should have a solid understanding of end-to-end data pipeline development, data engineering system design, debugging, performance optimization, and CI/CD practices. The role involves building scalable and reliable data solutions while collaborating with data engineering, analytics, and platform teams.
Mandatory Skills :
SQL, Google Cloud Platform (GCP), BigQuery, Apache Spark (PySpark/Scala), 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 data processing workflows within the GCP ecosystem.
- Work extensively with BigQuery for data transformation, validation, analysis, and 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, optimize, and troubleshoot complex SQL queries for large-scale datasets.
- Debug and resolve data processing issues, pipeline failures, and performance bottlenecks.
- Implement and maintain CI/CD practices for data engineering workflows.
- Monitor pipeline performance and continuously improve data processing efficiency.
- Collaborate with cross-functional teams to understand requirements and deliver reliable data solutions.
- Participate in code reviews, testing, deployments, and production support activities.
Required Skills & Qualifications :
- 5 to 8 years of experience in Data Engineering, Big Data Engineering, or a related field.
- Strong hands-on experience with Apache Spark.
- Excellent SQL skills and experience working with large-scale datasets.
- Practical, hands-on experience with Google Cloud Platform (GCP).
- Good understanding of BigQuery, data warehousing, and data processing.
- Working knowledge of GCP Dataproc.
- Strong understanding of data pipelines, end-to-end workflows, and system design.
- Good debugging, troubleshooting, and problem-solving skills.
- Practical understanding of CI/CD processes and deployment workflows.
- Experience with Git-based development practices.
Preferred Skills :
- Experience with PySpark, Scala, or Python for data engineering.
- Familiarity with workflow orchestration tools such as Apache Airflow or Cloud Composer.
- Knowledge of Kafka or other streaming technologies.
- Experience with Linux/Unix environments and shell scripting.
- Understanding of monitoring, logging, data quality, and data governance practices.
Ideal Candidate Profile :
The ideal candidate should demonstrate practical, hands-on knowledge rather than theoretical familiarity. Candidates should be able to explain how they have designed, developed, debugged, and optimized data pipelines in real-world environments.
Priority screening areas :
- Strong SQL skills.
- Hands-on GCP experience.
- Practical BigQuery knowledge.
- Strong understanding of end-to-end data pipelines and system design.
- Good to very good knowledge of Apache Spark.
- Working knowledge of GCP Dataproc.
- Strong debugging and problem-solving skills.
- Practical understanding of CI/CD.
Interview Process :
Round 1 : GT AI Interview
- Candidates should complete the AI interview as soon as possible after receiving the assessment.
- Recruiters should follow up to ensure timely completion.
Round 2 : Virtual Interview Drive
- A virtual interview drive is planned for next week; exact dates will be announced.
- Candidate profiles must be submitted by Friday, 2:00 PM.
Round 3 : Final Interview
- Candidates shortlisted after the initial rounds will attend a face-to-face or online interview.
- Candidates should be informed in advance that they may be required to visit the Target office in Bengaluru for an in-person interview.
Shubham Vishwakarma
Full Stack Developer - Averlon
About NeoGenCode Technologies Pvt Ltd
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.
Candid answers by the company
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
Company social profiles
Similar jobs (10)
PythonJob Description – Senior GCP Data Engineer
Position: Senior GCP Data Engineer
Experience: 8+ Years
Budget: Up to 30 LPA
Location: Bangalore / Hyderabad
Relocation: Candidates from Chennai / Pune willing to relocate are also welcome.
Notice Period: Immediate to 15 Days
Interview Process:
- Round 1: Virtual Interview
- Round 2 / DM Round: Face-to-Face Interview
Required Skills
- Strong hands-on experience in GCP Data Engineering.
- Good programming experience in Python.
- Strong experience with PySpark / Apache Spark.
- Proficiency in SQL and database concepts.
- Experience in developing and maintaining data pipelines.
- Good understanding of data processing, transformation, and integration.
- Experience in handling large-scale data processing.
- Strong problem-solving and debugging skills.
- Good understanding of cloud-based data engineering concepts.
- Experience in optimizing data pipelines for performance and scalability.
Preferred Skills
- Previous experience in a Lead Data Engineer role.
- Experience in technical leadership, mentoring, and guiding team members.
- Ability to collaborate with cross-functional teams and deliver data engineering solutions.
Roles & Responsibilities
- Design, develop, and maintain scalable data pipelines using GCP.
- Develop data processing and transformation workflows using Python and PySpark.
- Write and optimize SQL queries for efficient data processing.
- Build and maintain reliable data engineering solutions.
- Troubleshoot data pipeline issues and optimize performance.
- Ensure data quality, reliability, and scalability.
- Collaborate with stakeholders and team members to deliver project requirements.
- Lead and guide team members where applicable.
- Important: Candidates must have strong Senior Data Engineer experience. Lead experience is preferred but not mandatory.
Job Summary
We are seeking a highly skilled GCP Data Engineer with strong expertise in Google Cloud Platform (GCP), Python, ETL, and modern data engineering technologies. The ideal candidate should have hands-on experience designing and building scalable data pipelines using BigQuery, Dataflow, Pub/Sub, Airflow, and modern data lake technologies such as Apache Iceberg or Delta Lake.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform.
- Build and optimize data processing workflows using Python and Google Cloud Dataflow (Apache Beam).
- Develop and manage large-scale analytical data models in BigQuery.
- Implement event-driven data ingestion using Google Cloud Pub/Sub.
- Create, schedule, and monitor workflows using Apache Airflow and Autosys.
- Design and implement modern data lake architectures using Apache Iceberg or Delta Lake.
- Optimize query performance, storage, and compute costs in GCP.
- Ensure data quality, governance, security, and compliance across data platforms.
- Collaborate with Data Scientists, Analysts, and Application teams to deliver scalable data solutions.
- Troubleshoot production issues and continuously improve pipeline reliability and performance.
Mandatory Skills
- Strong hands-on experience with Google Cloud Platform (GCP).
- Proficiency in Python programming.
- Experience in designing and implementing ETL/ELT pipelines.
- Strong knowledge of BigQuery.
- Experience with Google Cloud Dataflow (Apache Beam).
- Experience with Google Cloud Pub/Sub.
- Hands-on experience with Apache Airflow.
- Experience in job scheduling using Autosys.
- Experience with modern table formats such as Apache Iceberg or Delta Lake.
- Strong SQL and data modeling skills.
Preferred Skills
- Experience with Cloud Storage, Dataproc, Cloud Composer, and Cloud Functions.
- Knowledge of CI/CD pipelines and DevOps practices.
- Experience with Docker and Kubernetes.
- Familiarity with Git and Agile/Scrum methodologies.
- Knowledge of data warehousing and dimensional modeling.
- Exposure to streaming and real-time data processing.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
- 4–8+ years of experience in Data Engineering with hands-on expertise in GCP technologies.
Required Experience
- Strong experience in developing enterprise-grade data pipelines using Python and GCP.
- Hands-on experience with BigQuery, Dataflow, Pub/Sub, and Airflow.
- Experience scheduling and monitoring batch workflows using Autosys.
- Experience implementing modern data lake architectures using Apache Iceberg or Delta Lake.
- Strong understanding of ETL best practices, performance tuning, and data optimization.
- Excellent analytical, troubleshooting, and problem-solving skills.
Mandatory Skills
- Google Cloud Platform (GCP)
- Python
- ETL
- BigQuery
- Autosys
- Apache Airflow
- Google Cloud Pub/Sub
- Google Cloud Dataflow (Apache Beam)
- Apache Iceberg / Delta Lake
- SQL & Data Modeling
PythonExperience: 5+ Years
Employment Type: Full-Time
Role Overview
We are looking for an experienced GCP Data Engineer with 5+ years of experience in data engineering and strong hands-on expertise in Google BigQuery, Google Cloud Storage (GCS), Airflow/Cloud Composer, Python, and Vertex AI. The candidate should be capable of designing, developing, and maintaining scalable data pipelines and cloud-based data solutions on Google Cloud Platform.
Key Skills – Mandatory
- BigQuery – Strong hands-on experience in data warehousing, SQL, optimization, and performance tuning.
- Google Cloud Storage (GCS) – Experience with data storage, file management, and integration with data pipelines.
- Airflow / Cloud Composer – Experience in developing, scheduling, monitoring, and managing data workflows.
- Python – Strong programming skills for data engineering, ETL/ELT development, automation, and pipeline implementation.
- Vertex AI – Experience working with ML/AI workflows, model integration, or data pipelines supporting AI/ML solutions.
Good to Have / Added Advantage
- Dataproc – Experience with distributed data processing and Spark-based workloads.
- Cloud Data Fusion – Experience in building and managing data integration pipelines.
- Cloud Run – Understanding of deploying and running containerized applications/services on GCP.
- Experience with ETL/ELT processes and data pipeline development.
- Knowledge of GCP data architecture and cloud-native services.
- Experience in data quality, validation, monitoring, and troubleshooting.
Responsibilities
- Design, develop, and maintain scalable GCP-based data pipelines.
- Build and optimize data solutions using BigQuery and Cloud Storage.
- Develop and manage workflows using Airflow / Cloud Composer.
- Write efficient and reusable Python code for data processing and automation.
- Support Vertex AI integrations and AI/ML data workflows.
- Monitor pipeline performance and troubleshoot data processing issues.
- Work with cross-functional teams to understand data requirements and deliver reliable solutions.
- Implement best practices for data security, quality, scalability, and performance.
You must have :
- 5+ years of overall experience in Data Engineering.
- Strong hands-on experience with BigQuery, GCS, Airflow/Cloud Composer, Python, and Vertex AI.
- Strong understanding of data engineering concepts, ETL/ELT, data pipelines, and cloud technologies.
- Dataproc, Data Fusion, and Cloud Run experience will be an added advantage.
PythonRole Overview
We are looking for a GCP Data Engineer with 10+ years of experience to design, develop, and optimize scalable cloud-based data solutions. The ideal candidate will have strong hands-on expertise in GCP, BigQuery, and advanced SQL, with experience building data pipelines and working with large-scale datasets.
Key Responsibilities
- Design and develop scalable data pipelines and ETL/ELT processes on GCP.
- Build, optimize, and maintain data solutions using Google BigQuery.
- Develop complex SQL queries for data transformation, aggregation, and analysis.
- Design efficient data models and optimize pipelines for performance, scalability, and cost.
- Integrate data from multiple sources and ensure data quality, reliability, and availability.
- Troubleshoot pipeline and data issues and drive continuous improvement.
- Collaborate with data architects, analysts, application teams, and business stakeholders.
- Follow best practices for cloud security, data governance, testing, and documentation.
Required Skills
- 8+ years of Data Engineering experience
- Strong hands-on experience with GCP, Django, and MongoDB
- Extensive experience with BigQuery
- Advanced SQL skills
- Strong understanding of ETL/ELT and data pipeline development
- Data modeling and data warehousing experience
- Experience handling large-scale datasets and performance optimization
- Strong problem-solving and communication skills
Good to Have
- GCP services such as Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, or Cloud Functions
- Python or other data engineering languages
- Experience with data governance and security
- Agile development experience
Python1st virtual , 2nd round F2F -
Python pyspark, SQL, data engineer
5+yrs
Bang/hyderabad
immediate to 15days.
KubernetesScalaDescription
We are looking for Senior Data Engineers to join our AdTech team and build scalable, high-performance data platforms that power advertising insights and analytics. The ideal candidate will have strong experience in distributed data processing, ETL pipelines, and Big Data technologies, with hands-on expertise in Spark and Scala.
You will work on designing, developing, and optimizing large-scale data pipelines while collaborating closely with cross-functional engineering teams to build reliable, production-grade data solutions.
Key Responsibilities
- Design, develop, and maintain scalable ETL pipelines for large-scale data processing.
- Build and optimize distributed data applications using Spark and Scala.
- Develop reliable, high-performance data pipelines for batch and streaming workloads.
- Work with large datasets to ensure data quality, consistency, and performance.
- Collaborate with engineering, product, and analytics teams to deliver robust data solutions.
- Optimize data workflows for scalability, reliability, and cost efficiency.
- Deploy and manage data workloads in cloud and containerized environments.
- Troubleshoot production issues and continuously improve platform performance.
Requirements
Candidates who demonstrate:
- 5+ years of experience in Data Engineering or Big Data Engineering.
- Strong hands-on experience with Apache Spark and Scala.
- Experience building and maintaining ETL pipelines.
- Familiarity with Google Cloud Storage (GCS).
- Experience with Kubernetes (K8s).
- Strong SQL skills and understanding of distributed data processing.
- Excellent debugging, problem-solving, and performance optimization skills.
- Strong communication and collaboration skills.
Good to Have
- Experience with AWS and cloud-native data services.
- Familiarity with streaming technologies such as Kafka.
- Experience working on large-scale data platforms or AdTech systems.
- Exposure to orchestration tools such as Airflow.
Benefits
- Best-in-class salary: We hire strong talent and compensate accordingly.
- Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners.
- Continuous learning: Work with a world-class team and stay close to the latest in AI, engineering, and product development.
- High-impact work: Build AI-first systems and products used at scale by global clients.
About Us
Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.
Since 2019, Proximity has built high-impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting-edge technology at scale.
Python1st virtual , 2nd round F2F
Python pyspark, SQL, data engineer
5+yrs
9+yrs
Bangalore/Hyderabad
immediate to 15days.
Senior Data Engineer – Ab Initio | GCP | Spark | Agentic AI
Location: Bangalore
Experience: 5+ Years
Role: Senior Data Engineer
Work Mode: Bangalore
Job Summary
We are looking for an experienced Senior Data Engineer with strong expertise in Ab Initio, GCP, Apache Spark, and Agentic AI. The ideal candidate will have hands-on experience designing and developing scalable data engineering solutions, building data pipelines, and working with modern cloud and AI technologies.
The candidate should be comfortable working across traditional enterprise data platforms and emerging Generative AI / Agentic AI solutions.
Key Responsibilities
- Design, develop, and maintain scalable and high-performance data pipelines using Ab Initio, Spark, and GCP services.
- Develop and optimize complex ETL/ELT workflows using Ab Initio.
- Build and maintain data processing solutions using Apache Spark / PySpark.
- Develop cloud-based data solutions on Google Cloud Platform (GCP).
- Work with GCP data services such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, or equivalent services.
- Perform data integration, transformation, cleansing, and validation.
- Optimize data pipelines for performance, scalability, reliability, and cost.
- Collaborate with data architects,
Data Engineer – Contract Opportunity
We are looking for an experienced Data Engineer with 5+ years of experience to work on subscriber activation, churn, FTE, and future reporting requirements.
Key Responsibilities:
- Work on data requirements related to Subscriber Activation, Churn, FTE, and future reporting.
- Work with BigQuery as the centralized data warehouse.
- Develop and maintain data ingestion and integration pipelines across multiple source systems.
- Design and implement ETL/ELT processes.
- Develop data models for reporting and analytics.
- Integrate BigQuery with Power BI or similar reporting tools.
Required Skills:
- Strong hands-on experience with GCP & BigQuery
- Data warehouse architecture, design, and implementation
- Data ingestion/integration across multiple source systems
- ETL/ELT and data pipeline development
- Data modelling for reporting and analytics
- Experience integrating BigQuery with Power BI or similar reporting tools
Contract: 1 month initially, with potential extension
Compensation: ₹6–7 LPA
Work Mode: Remote
Important
Since this is only a 1-month contract, mention “Potential extension” rather than saying it will definitely be extended.
PythonData Engineer Hiring Post
🚨 Hiring: Data Engineer | PySpark + Python + SQL
We are looking for experienced Data Engineers to join our team!
🔹 Experience: 5 to 9 Years
🔹 Locations: Bangalore / Hyderabad
🔹 Interview Process:
• 1st Round – Virtual
• 2nd Round – Face-to-Face (Karat Test)
🔑 Key Skills:
✅ PySpark
✅ SQL
✅ Python
✅ ETL
📩 Interested candidates can share their updated resume.
#Hiring #DataEngineer #PySpark #Python #SQL #ETL #BangaloreJobs #HyderabadJobs #TechHiring #ImmediateHiring
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon