Designs, develops, and maintains scalable data pipelines, ETL/ELT workflows, data warehouses, lakes, and lakehouses. Integrates MarTech platforms and customer data platforms, manages identity resolution and compliant PII handling, and supports batch and real-time processing. The role also focuses on data quality, governance, lineage, validation, monitoring, performance optimization, and troubleshooting. Collaboration with data scientists, analysts, BI developers, product owners, and business stakeholders is required.
Job Summary
ResponsibilitiesWe 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
Key Responsibilities
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.- 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.
Zensar Technologies Pune, Mahārāshtra, IND Office
Zensar Knowledge Park, Kharadi, Plot # 4, MIDC, Pune, Maharashtra, India, 411014
Zensar Technologies Pune, Maharashtra, IND Office
Pune, India
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