GCP Data engineer

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

1st virtual , 2nd round F2F

Python pyspark, SQL, data engineer

5+yrs

9+yrs

Bangalore/Hyderabad

immediate to 15days.

Job 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.

role: data engineer

Python pyspark, SQL, data engineer

5+yrs

Bangalore/Hyderabad

immediate to 15days.

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.

🚨 Hiring: GCP Data Engineer

We are looking for experienced GCP Data Engineers to join our team!

🔹 Experience: 9+ Years

🔹 Relevant Experience: 4+ Years in GCP Data Engineering

🔹 Required Skills: GCP, Oracle PL/SQL, Python, PySpark

🔹 Location: Bangalore / Hyderabad

🔹 Notice Period: Immediate to 10 Days Preferred

Key Skills:

🔹 Strong hands-on experience in GCP Data Engineering

🔹 Good experience with PySpark & Python

🔹 Strong knowledge of Oracle PL/SQL

🔹 Experience in data processing, ETL, and data pipelines

🔹 Good understanding of cloud-based data engineering

📩 Interested candidates can share their updated CV via DM.

#Hiring #GCPDataEngineer #GCP #DataEngineering #PySpark #Python #OraclePLSQL #DataEngineer #BangaloreJobs #HyderabadJobs #ImmediateJoiner #TechJobs #ITJobs #HiringNow

1st virtual , 2nd round F2F -

Python pyspark, SQL, data engineer

5+yrs

Bang/hyderabad

immediate to 15days.

1st virtual , 2nd round F2F

Python pyspark, SQL, data engineer

5+yrs

Bang/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,
• 
  

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