Google Data Engineer - SSE

Experience: 6+ years overall Data Engineering experience.

Must-have — candidates should have hands-on experience in ALL of these:

1. GCP (Google Cloud Platform) – strong hands-on experience
2. Python – data engineering/ETL development
3. SQL – advanced SQL, query optimization, data transformation
4. BigQuery – strong hands-on experience with development, optimization and data warehousing
5. Data Engineering / ETL – building and maintaining data pipelines
6. GCP data services – preferably Cloud Storage, Dataflow, Pub/Sub, Composer/Airflow, etc.
7. Data warehousing / dimensional modeling

🚀 Hiring: Senior GCP Data Engineer

We are looking for experienced Senior Data Engineers with strong hands-on expertise in Google Cloud Platform (GCP), Python, PySpark, and SQL. Candidates with team lead experience will be preferred.

📌 Job Details:

• Role: Senior GCP Data Engineer
• Experience: 8+ Years
• Budget: Up to ₹30 LPA
• Location: Bangalore / Hyderabad
• Relocation: Candidates from Chennai and Pune willing to relocate are welcome.
• Notice Period: Immediate to 15 days
• Interview Process: L1 – Virtual | L2 / DM – Face-to-Face (F2F)

💻 Required Technical Skills:

• Strong hands-on experience with GCP data engineering.
• Excellent proficiency in Python, PySpark, and SQL.
• Experience in designing, developing, and optimizing data pipelines.
• Good understanding of ETL/ELT processes and large-scale data processing.
• Experience working with cloud-based data platforms and data warehousing.
• Strong analytical, problem-solving, and communication skills.

⭐ Preferred Skills:

• Previous experience as a Technical Lead or leading a data engineering team.
• Knowledge of GCP services such as BigQuery, Dataproc, Dataflow, and Cloud Storage.

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.

Job Title: GCP Data Engineer

Experience: 6–8 years

Location : Bangalore

What are they looking for?

They need a Google Cloud Platform (GCP) Data Engineer who can build and maintain data pipelines, process large volumes of data, and manage data storage using Google Cloud services.

The candidate should have hands-on experience with batch and real-time data processing, ETL workflows, and cloud data warehousing.

Mandatory / Core Skills

• Google Cloud Platform (GCP)
• Google Cloud Dataflow
• Pub/Sub
• Apache Beam
• BigQuery
• Cloud Storage / Bigtable
• Cloud Composer (Apache Airflow)
• ETL / data pipeline development
• Apache Spark / Hadoop using Dataproc

Supporting Skills

• Cloud Data Fusion
• NoSQL databases
• Data quality and governance
• Data security, access controls, and encryption
• Batch and real-time streaming
• Preparing datasets for BI, analytics, and machine learning

GCP Data engineer

Exp 9+yrs

Bangalore/Hyderabad

Lead exp+ Python + pyspark + sql or plsql

immediate to 15days joiners

Call or WhatsApp: 6 3 8 5 0 7 6 1 4 2

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.

GCP Data Engineer

Job Description

Experience: 4-10 Years Location: Bangalore, India Employment:

Role Overview

We are seeking a GCP Data Engineer to design, build and maintain data systems on Google Cloud Platform. The role focuses on building pipelines with BigQuery, Dataflow and Pub/Sub, managing cloud storage, and enabling real-time data processing for fast, reliable analytics.

Key Responsibilities

• Design, develop and maintain scalable batch and real-time data pipelines on GCP.

• Build ETL/ELT pipelines with rollback strategies, bad-record handling and performance optimization.

• Design end-to-end data integration flows across systems.

• Design scalable fact/dimension schemas in cloud data warehouses.

• Handle structured, semi-structured and unstructured data at scale.

• Implement data quality checks, security and compliance policies; protect sensitive information.

• Optimize data systems by identifying bottlenecks, tuning queries and adopting new technologies.

• Collaborate with data scientists, analysts and business stakeholders to deliver tailored data solutions.

Technical Skills

• GCP Services: Cloud Run functions, Cloud Scheduler, Workflows, Pub/Sub, GCS, Dataflow, BigQuery, Cloud Build.

• Programming: Strong SQL / PL-SQL, Python and object-oriented languages (Java, Python); API development.

• CI/CD: Deployment using GitHub Actions and Jenkins.

• Data Modelling: Top-down and bottom-up database design, data masking, normalization, denormalization, dimensional modeling.

• Big Data & Streaming: Streaming architectures, NoSQL stores and key-value databases under high concurrency and volume.

Qualifications

• Bachelor's degree in Computer Science, IT, Engineering or a related field.

• 4-10 years of data engineering experience with hands-on GCP delivery.

• Strong problem-solving, communication and stakeholder management skills.

• GCP Professional Data Engineer certification preferred.

Sourcing Preference

• Priority 1: Internal profiles (TCSers).

• Priority 2: If no suitable internal profile is identified, external candidates available for immediate joining.

Desirable Skills:

Keyword:

Skills: Digital : Python~Digital : NOSQL~Digital : Google Cloud

Experience Required: 6-8

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,
• 
  

I’m a Google Cloud Data Engineer with 5+ years of experience in data engineering, ETL, and cloud data solutions. I specialize in BigQuery, Dataform, Cloud Composer (Airflow), SQL, and CI/CD automation.

I have hands-on experience building reusable Dataform frameworks, developing and orchestrating data pipelines, supporting cloud platform upgrades, implementing secure IAM access, and optimizing data transformation workflows. I’ve also worked on AI-assisted SQLX code generation to improve developer productivity and standardize development.

I’m passionate about building scalable, reliable, and efficient data solutions. I’m looking for opportunities where I can contribute my GCP expertise, solve real-world data challenges, collaborate with talented teams, and continue growing as a Data Engineer.

Core skills: Google Cloud Platform (GCP) | BigQuery | Dataform | Cloud Composer | Apache Airflow | SQL | Python | ETL | CI/CD | GitHub Actions | Dataplex

GCP Data engineer (L1 virtual, L2 or DM F2F )

GCP + Python + Pyspark + sql + Lead

8+yrs

Bangalore/hyderabad location ( relocation profiles also from Chennai pune location)

immediate to 15days