Aws Data Engineer

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.

Roles and Responsibilities

• Develop and manage robust ETL pipelines using Apache Spark (Scala)

• Understand park 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

• Collaborate cross-functionally to design effective data solutions

• Implement data workflows utilizing AWS Step Functions for efficient orchestration.

Leverage AWS Glue and Crawler 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 3 years of progressive experience building solutions in Big Data

environments.

• Have a strong ability to build robust and resilient data pipelines which are scalable,

fault tolerant and reliable in terms of data movement.

• 3+ years of hands-on expertise in Python, Spark and Kafka.

• Strong command of AWS services like EMR, Redshift, Step Functions, AWS Glue, and

AWS Crawler.

• 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 skills.

Role:

Industry Type:

Department:

Employment Type:

Role Category:

Education

UG: