Data Engineer

Data Engineer

Exp - 8 years

Roles and Responsibilities ? Develop and manage robust ETL pipelines using Apache Spark (Scala)? Understand Spark concepts, performance optimization techniques, and governancetools? Develop a highly scalable, reliable, and high-performance data processing pipeline toextract, transform, and load data from various systems to the Enterprise DataWarehouse/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 forefficient orchestration. Leverage AWS Glue and Crawler or Azure Data Factory andData 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 tohigh-level (HLD) and low-level (LLD) design discussions

Technical Skills

? Progressive experience building solutions in Big Data environments? Have a strong ability to build robust and resilient data pipelines which are scalable, faulttolerant, and reliable in terms of data movement? hands-on expertise in Python, Spark, and Kafka? Strong command of AWS or Azure services? Strong hands-on capabilities on SQL and NoSQL technologies? Sound understanding of data warehousing, modeling, and ETL concepts? Familiarity with High-Level Design (HLD) and Low-Level Design (LLD) principles? Excellent written and verbal communication skillsRequirements