Required Skills
- Strong experience in Python programming.
- Hands-on expertise with PySpark for large-scale data processing.
- Experience with Google Cloud Platform (GCP) services:
- BigQuery
- Dataproc
- Dataflow
- Cloud Storage
- Pub/Sub
- Cloud Composer (Airflow)
- Strong SQL skills and experience with relational databases.
- Experience building batch and real-time data pipelines.
- Good understanding of Data Lake and Data Warehouse concepts.
- Knowledge of distributed computing and Spark optimization techniques.
- Experience with Git, CI/CD pipelines, and Agile methodologies.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using PySpark and Python.
- Build and manage data processing solutions on Google Cloud Platform (GCP).
- Develop data ingestion frameworks from structured, semi-structured, and unstructured data sources.
- Implement data transformation, cleansing, and aggregation processes for analytics and reporting.
- Work with BigQuery, Cloud Storage, Dataproc, Dataflow, Pub/Sub, Composer (Airflow), and other GCP services.
- Optimize PySpark jobs for performance, scalability, and cost efficiency.
- Collaborate with Data Scientists, Analysts, and Application teams to deliver high-quality data solutions.
- Ensure data quality, governance, security, and compliance standards are met.
- Troubleshoot and resolve production data issues and performance bottlenecks.
- Participate in code reviews, CI/CD implementation, and DevOps practices.
referred Skills
- Experience with Kafka and streaming architectures.
- Knowledge of Terraform or Infrastructure as Code (IaC).
- Experience with Docker and Kubernetes.
- Understanding of data modeling and dimensional modeling concepts.
- Exposure to machine learning data pipelines.
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.
Skills Required
- Strong experience in Python programming
- Hands-on expertise with PySpark for large-scale data processing
- Experience with Google Cloud Platform (GCP)
- Experience with BigQuery
- Experience with Dataproc
- Experience with Dataflow
- Experience with Cloud Storage
- Experience with Pub/Sub
- Experience with Cloud Composer (Airflow)
- Strong SQL skills and experience with relational databases
- Experience building batch and real-time data pipelines
- Understanding of Data Lake and Data Warehouse concepts
- Knowledge of distributed computing and Spark optimization techniques
- Experience with Git, CI/CD pipelines, and Agile methodologies
- Experience with Kafka and streaming architectures
- Knowledge of Terraform or Infrastructure as Code (IaC)
- Experience with Docker and Kubernetes
- Understanding of data modeling and dimensional modeling concepts
- Exposure to machine learning data pipelines
Zensar Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zensar Technologies and has not been reviewed or approved by Zensar Technologies.
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Retirement Support — A 401(k) with company match and immediate vesting is highlighted, with broad fund options available.
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Wellbeing & Lifestyle Benefits — Work-life balance, remote/hybrid flexibility, and supportive teams are emphasized as strengths that enhance the overall experience.
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Parental & Family Support — Inclusive policies such as parental leave and access to EAP and dependent medical coverage are promoted across regions.
Zensar Technologies Insights
What We Do
Zensar is a leading experience, engineering, and technology solutions company. We conceptualize, build, and manage digital products for Forbes Global 2000 clients across the hi-tech engineering, banking and financial services, insurance, manufacturing and consumer services verticals. With proven excellence across five core areas, including experience services, advanced engineering services, data engineering and analytics, foundation services, and application services, our solutions leverage industry-leading platforms to help our clients be competitive, agile, and disruptive while moving with velocity through change and opportunity. Zensar’s expansive ecosystem of 60+ technology partners, including Oracle, Salesforce, SAP, Guidewire, Automation Anywhere, Adobe, and UiPath, enables us to deliver comprehensive solutions to clients, facilitating seamless integration and allowing them to leverage cutting-edge technologies and tools for enhanced business outcomes. Zensar is part of the USD 4.4 billion RPG Group. With headquarters in Pune, India, our 10,500+ employees, representing over 50 nationalities, work from 30+ locations across North America, UK/Europe, and South Africa. Visit us at www.zensar.com








