Data Engineer - Hadoop/Spark (3-5 yrs)

About Job

We are seeking an experienced Data Engineer to join our data team. As a Senior Data Engineer, you will work on various data engineering tasks including designing and optimizing data pipelines, data modelling, and troubleshooting data issues. You will collaborate with other data team members, stakeholders, and data scientists to provide data-driven insights and solutions to the organization.

Experience required is of 3+ Years.

Responsibilities :

- Design and optimize data pipelines for various data sources

- Design and implement efficient data storage and retrieval mechanisms

- Develop data modelling solutions and data validation mechanisms

- Troubleshoot data-related issues and recommend process improvements

- Collaborate with data scientists and stakeholders to provide data-driven insights and solutions

- Coach and mentor junior data engineers in the team

Skills Required :

- 3+ years of experience in data engineering or related field

- Strong experience in designing and optimizing data pipelines, and data modelling

- Strong proficiency in programming languages Python

- Experience with big data technologies like Hadoop, Spark, and Hive

- Experience with cloud data services such as AWS, Azure, and GCP

- Strong experience with database technologies like SQL, NoSQL, and data warehousing

- Knowledge of distributed computing and storage systems

- Understanding of DevOps and power automate and Microsoft Fabric will be an added advantage

- Strong analytical and problem-solving skills

- Excellent communication and collaboration skills

Qualifications :

- Bachelor's degree in Computer Science, Data Science, or a Computer related field (Master's degree preferred)