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Gcp Data Engineer

Lloyds Technology Centre
Posted on
Lloyds Technology Centre logo

Experience
6 - 11 yrs
Salary (CTC)
₹20L - ₹35L
Job Location
Hyderabad, India
Vacancy
1
Designation
Gcp Data Engineer
Job Type
Not specified

Job Description

Senior Data Engineer - GCP, Big Query, PySpark & Kafka
Location
Hyderabad (Hybrid)
Experience
5 to 13 Years
Role Overview
We are looking for a highly skilled Data Engineer with strong expertise in building scalable, cloud-native data platforms on Google Cloud Platform (GCP). The ideal candidate should have extensive hands-on experience with Python, PySpark, BigQuery, Kafka, DBT, Terraform, Kubernetes, SQL, CI/CD, and ETL pipeline development. The candidate will be responsible for designing, developing, optimizing, and supporting large-scale data processing solutions that drive business insights and analytics.
Key Responsibilities

  • Design, develop, and maintain scalable data pipelines and data processing frameworks on GCP.
  • Build and optimize batch and real-time ETL/ELT pipelines using Python, PySpark, Kafka, and BigQuery.
  • Develop high-performance data solutions for large-scale structured and unstructured datasets.
  • Create and maintain data models using DBT and ensure adherence to data governance standards.
  • Design streaming solutions using Kafka and event-driven architectures.
  • Implement infrastructure as code (IaC) using Terraform for automated cloud provisioning.
  • Deploy and manage containerized applications using Kubernetes.
  • Build automated CI/CD pipelines for data platform deployments and releases.
  • Optimize BigQuery performance, partitioning, clustering, and query tuning.
  • Collaborate with data scientists, analysts, architects, and business stakeholders to build data products.
  • Troubleshoot production issues and drive continuous improvements in platform reliability and performance.
  • Ensure data quality, scalability, security, and operational excellence across the data ecosystem.

Must Have Skills
Data Engineering

  • Python
  • PySpark / Apache Spark
  • Advanced SQL
  • ETL / ELT Pipeline Development
  • Data Warehousing Concepts
  • Data Modeling

Google Cloud Platform (GCP)

  • BigQuery
  • Dataflow
  • Pub/Sub
  • Cloud Composer
  • Cloud Storage (GCS)
  • Cloud Functions (Good to Have)

Streaming & Messaging

  • Apache Kafka
  • Event-Driven Architecture
  • Real-Time Data Processing

DevOps & Cloud Engineering

  • Terraform
  • Kubernetes
  • Docker
  • CI/CD Pipelines
  • Git/GitHub/GitLab

Data Transformation

  • DBT (Data Build Tool)

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.
  • 5-13 years of experience in Data Engineering and Cloud-based Data Platforms.
  • Strong hands-on expertise in GCP ecosystem and BigQuery.
  • Experience building enterprise-grade data platforms and large-scale distributed data processing systems.
  • Strong understanding of cloud-native architectures and modern data engineering practices.
  • Excellent problem-solving and analytical skills.
  • Strong communication and stakeholder management capabilities.

Preferred Skills

  • Experience with Data Lake and Lakehouse architectures.
  • Knowledge of Airflow/Cloud Composer.
  • Exposure to BI/Analytics platforms such as Tableau, Looker, or Power BI.
  • Experience in Financial Services, Banking, Insurance, or Enterprise Data Platforms.
  • Exposure to Data Governance and Data Quality tools.

What We Are Looking For

  • Strong hands-on coding experience in Python and PySpark.
  • Deep expertise in BigQuery performance optimization.
  • Proven experience with Kafka-based streaming solutions.
  • Strong Terraform and Kubernetes implementation experience.
  • Experience building robust CI/CD pipelines for data platforms.
  • Ability to design end-to-end cloud-native data solutions on GCP.

No Referrers Available

There are currently no referrers available for this job. You can still apply, will let you know once there is any referrer available.