We are seeking a skilled Data Engineer to design, develop, and maintain scalable data pipelines and modern data platforms. The ideal candidate will have hands-on experience in data engineering, ETL/ELT processes, cloud technologies, big data frameworks, and data warehousing solutions. The role involves collaborating with data scientists, analysts, and business stakeholders to deliver reliable and high-quality data solutions.
Core Responsibility:
ETL/ELT Pipeline Development: Build and maintain data pipelines extracting from Martech Platforms.
MarTech & CDP Integration: Manage Customer Data Platforms (CDPs) and associated tools
Identity Resolution & Attribution: Manage user stitching, PII-compliant data handling
Data Quality & Governance: Ensure data lineage, schema validation, and reliable monitoring using orchestration tools like Apache Airflow
Qualifications
- Design, develop, and maintain scalable data pipelines and data integration solutions.
- Build and optimize ETL/ELT workflows for processing large-scale datasets.
- Develop and manage enterprise data warehouses, data lakes, and lakehouse architectures.
- Integrate data from multiple structured and unstructured sources.
- Ensure data quality, governance, security, and compliance standards.
- Optimize data storage, retrieval, and processing performance.
- Collaborate with Data Scientists, BI Developers, Product Owners, and business teams.
- Monitor and troubleshoot data pipelines and production data issues.
- Implement data validation, lineage, and monitoring frameworks.
- Support real-time and batch data processing requirements.
- Strong proficiency in SQL and database design principles.
- Hands-on experience with Python, PySpark, or Scala.
- Experience building ETL/ELT pipelines and data integration solutions.
- Strong understanding of Data Modeling (Star Schema, Snowflake Schema, Dimensional Modeling).
- Experience with Data Warehousing concepts and best practices.
- Knowledge of batch and real-time data processing frameworks.
- Apache Spark
- Hadoop Ecosystem
- Databricks
- Apache Kafka
- Apache Airflow
- Microsoft Azure (ADF, ADLS, Synapse, Fabric)
- AWS (S3, Glue, Redshift, EMR)
- Google Cloud Platform (BigQuery, Dataflow)
- SQL Server
- PostgreSQL
- Oracle
- MySQL
- MongoDB
- Experience with Microsoft Fabric and modern Data Lakehouse architecture.
- Hands-on experience using Azure Data Factory (ADF), Synapse Analytics, and Databricks.
- Experience with streaming technologies such as Kafka and Spark Streaming.
- Knowledge of data governance and cataloging tools.
- Experience with CI/CD implementation for data pipelines.
- Familiarity with Infrastructure as Code (Terraform).
- Python
- SQL
- PySpark
- Databricks
- Apache Spark
- Kafka
- Airflow
- Azure Data Factory
- Azure Synapse Analytics
- Microsoft Fabric
- Git
- Azure DevOps
- Jenkins
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.
- Experience working in Retail, E-commerce, Banking, or Enterprise Data Platforms.
- Understanding of Machine Learning data pipelines.
- Knowledge of data governance, data security, and compliance frameworks.
- Strong analytical and problem-solving skills.
- Experience working in Agile/Scrum environments.
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 proficiency in SQL and database design principles
- Hands-on experience with Python, PySpark, or Scala
- Experience building ETL/ELT pipelines and data integration solutions
- Strong understanding of data modeling, including star schema, snowflake schema, and dimensional modeling
- Experience with data warehousing concepts and best practices
- Knowledge of batch and real-time data processing frameworks
- Experience with Apache Spark, Hadoop, Databricks, Apache Kafka, and Apache Airflow
- Experience with cloud data platforms, including Azure, AWS, or Google Cloud Platform
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field
- Experience with Microsoft Fabric and modern data lakehouse architecture
- Hands-on experience with Azure Data Factory, Synapse Analytics, and Databricks
- Experience with streaming technologies such as Kafka and Spark Streaming
- Knowledge of data governance and cataloging tools
- Experience implementing CI/CD for data pipelines
- Familiarity with Terraform and Infrastructure as Code
- Understanding of machine learning data pipelines
- Knowledge of data governance, data security, and compliance frameworks
- Experience working in Retail, E-commerce, Banking, or enterprise data platforms
- Experience working in Agile/Scrum environments
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
