Zensar Technologies
DE&A - Core - Cloud Data Engineering - Snowflake Data Engineering
Be an Early Applicant
Designs, builds, and maintains scalable enterprise data platforms, ETL/ELT pipelines, ingestion frameworks, data warehouses, lakehouses, and cloud data solutions. Ensures data quality, governance, security, performance, and reliability while supporting analytics, reporting, machine learning, and AI use cases. Collaborates with architects, analysts, data scientists, application teams, and stakeholders on solution design and production support. Implements CI/CD, automation, monitoring, infrastructure-as-code, and cloud deployment practices.
We are seeking a highly motivated Data Engineer to design, build, and maintain scalable data platforms and pipelines that enable analytics, reporting, machine learning, and AI-driven business solutions. The ideal candidate will have expertise in data integration, cloud technologies, data warehousing, and modern data engineering practices, with a strong focus on data quality, performance, and reliability.
The Data Engineer will work closely with business stakeholders, data architects, analysts, data scientists, and application teams to deliver trusted and scalable data solutions.
Data Pipeline Development
Qualifications- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Build and optimize batch and real-time data ingestion frameworks.
- Integrate data from multiple sources, including databases, APIs, SaaS applications, and third-party systems.
- Ensure data consistency, quality, and reliability across platforms.
- Develop and support enterprise Data Lake, Data Warehouse, and Lakehouse architectures.
- Implement scalable data solutions on cloud platforms.
- Design data models to support reporting, analytics, and AI/ML use cases.
- Optimize data storage, processing, and query performance.
- Establish data validation, cleansing, and monitoring processes.
- Implement data governance, lineage, cataloging, and metadata management practices.
- Ensure compliance with security, privacy, and regulatory requirements.
- Support audit and data quality initiatives.
- Monitor and tune data pipelines and databases for performance and scalability.
- Identify and resolve data bottlenecks and processing issues.
- Optimize SQL queries and large-scale data transformations.
- Collaborate with Data Architects to implement enterprise data solutions.
- Work closely with BI developers, analysts, and data scientists to support analytical needs.
- Participate in requirements gathering, solution design, and technical reviews.
- Provide production support and troubleshooting for critical data platforms.
- Implement CI/CD pipelines for data engineering solutions.
- Automate deployment, monitoring, and operational processes.
- Support infrastructure-as-code and cloud automation initiatives.
Education
About UsAt Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.- Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or related field.
- Master's degree is a plus.
- 12+ years of experience in Data Engineering, Data Warehousing, or Big Data environments.
- Experience building and supporting large-scale enterprise data platforms.
- Experience working in Agile development environments.
- Python
- SQL
- Java (Preferred)
- Apache Spark
- Databricks
- dbt
- Microsoft Azure
- AWS
- Google Cloud Platform (GCP)
- Snowflake
- Azure Synapse Analytics
- Amazon Redshift
- BigQuery
- Teradata
- SQL Server
- Oracle
- PostgreSQL
- MySQL
- MongoDB
- Tableau
- Power BI
- Looker
- Qlik Sense
- Git
- Azure DevOps
- Jenkins
- Terraform
- Docker
- Kubernetes
- Data Lakehouse Architecture
- Real-Time Streaming Architecture
- Data Mesh Concepts
- Master Data Management (MDM)
- Data Governance Frameworks
- Machine Learning Data Pipelines
- API Development & Integration
- Event-Driven Architecture
- Strong analytical and problem-solving abilities.
- Excellent communication and stakeholder management skills.
- Ability to work independently and collaboratively within cross-functional teams.
- Strong documentation and presentation skills.
- Attention to detail and commitment to delivering high-quality solutions.
- Microsoft Azure Data Engineer Associate (DP-203)
- AWS Certified Data Analytics Specialty
- Google Professional Data Engineer
- Snowflake SnowPro Certification
- Databricks Certified Data Engineer Associate
- Tableau Certified Professional (Preferred)
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.
Zensar Technologies Chennai, Tamil Nadu, IND Office
1A, 9/1A, 2nd Floor, MGR Main Road, Kodandarama Nagar, Perungudi, Chennai, Tamil Nadu, India, 600096
Similar Jobs
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Own semiconductor backend packaging assembly process development, optimization, and new product introduction. Define process records, windows, specifications, and capability targets while applying DOE, SPC, Six Sigma, FMEA, RCA, and structured problem solving to improve yield, reliability, cost, and process margins. Use MES, manufacturing data, analytics, and AI/ML for predictive control and anomaly detection. Introduce new materials and equipment, lead cross-functional execution, and coach process teams in a high-volume manufacturing environment.
Top Skills:
Ai/MlIndustry 4.0JmpMesPythonSemiconductor Packaging AssemblySQL
Security • Cybersecurity
Own global revenue recognition under ASC 606 and accounting processes including commissions, COGS, and leases. Review tax provisions, returns, transfer pricing, and subsidiary filings; support external audits and cross-functional reporting. Lead accounting projects, process improvements, and AI-driven workflow automation. Requires a CA, Big 4 high-tech experience, strong US GAAP and revenue recognition knowledge, ERP experience, advanced Excel skills, and excellent communication.
Top Skills:
Ai Automation ToolsAsc 340-40Asc 606ExcelMS OfficeNetSuiteUs Gaap
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Designs and deploys production AI assistants, copilots, agents, RAG systems, and intelligent automations. Integrates LLMs with Snowflake, AWS, enterprise applications, and workflow platforms to automate business processes. Builds backend services and serverless workflows, implements observability and responsible AI controls, and scales validated prototypes into reliable production solutions. Partners with technical and business teams to improve decision-making, efficiency, quality, and cost performance.
Top Skills:
AirflowAmazon Api GatewayAmazon BedrockAmazon EventbridgeAmazon S3Amazon SagemakerAnthropicAws LambdaAws Step FunctionsAzure OpenaiDbtGeminiGoMcpMicrosoft Power AutomateMlflowN8NOauthOpenaiPythonRbacSalesforceServicenowSnowflakeSnowflake Cortex SearchSnowflake Ml RegistrySnowparkSsoTypescriptUipathWeights & BiasesWorkato
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
