We are looking for data engineers who have the right attitude, aptitude, skills, empathy,

compassion, and hunger for learning. Build products in the data analytics space. A passion

for shipping high-quality data products, interest in the data products space; curiosity about

the bigger picture of building a company, product development and its people.

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Roles and Responsibilities
Develop and manage robust ETL pipelines using Apache Spark (Scala)
Understand Spark concepts, performance optimization techniques, and governance tools
Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform, and load data from various systems to the Enterprise Data Warehouse/Data Lake/Data Mesh hosted on AWS or Azure
Collaborate cross-functionally to design effective data solutions
Implement data workflows utilizing AWS Step Functions or Azure Logic Apps for productive orchestration.



Leverage AWS Glue and Crawler or Azure Data Factory and Data Catalog for seamless data cataloging and automation
Monitor, troubleshoot, and optimize pipeline performance and data quality
Maintain high coding standards and produce thorough documentation. Contribute to high-level (HLD) and low-level (LLD) design discussions

Technical Skills
● Minimum 2 years of progressive experience building solutions in Big Data environments
● Have a robust ability to build robust and resilient data pipelines which are scalable, fault tolerant, and reliable in terms of data movement
● 2+ years of hands-on expertise in Python, Spark, and Kafka
● Strong command of AWS or Azure services
● Robust hands-on capabilities on SQL and NoSQL technologies

📌 Data Engineer Pune
🏢 Leading
📍 Pune