The Senior Data Engineer will be responsible for building and extending our data pipeline

architecture, as well as optimizing data flow and collection for cross functional teams. The ideal

candidate is an experienced data pipeline builder and data wrangler who enjoys working with big

data and building systems from the ground up.

You will collaborate with our software engineers, database architects, data analysts and data

scientists to ensure our data delivery architecture is consistent throughout the platform. You must

be self-directed and comfortable supporting the data needs of multiple teams, systems and

products. The right candidate will be excited by the prospect of optimizing or even re-designing

our company’s data architecture to support our next generation of products and data initiatives.

What You’ll Be Doing:

● Design and build parts of our data pipeline architecture for extraction, transformation, and

loading of data from a wide variety of data sources using the latest Big Data technologies.

● Identify, design, and implement internal process improvements:



automating manual

processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

● Work with stakeholders including the Executive, Product, Data and Design teams to assist

with data-related technical issues and support their data infrastructure needs.

● Work with machine learning, data, and analytics experts to drive innovation, accuracy and

greater functionality in our data system.

Qualifications:

● Bachelor's degree in Engineering, Computer Science, or relevant field.

● 6+ years of relevant and recent experience in a Data Engineer role.

● 3+ years recent experience with Apache Spark and solid understanding of the

fundamentals.

● Deep understanding of Big Data concepts and distributed systems.

● Solid coding skills with Scala, Python, Java and/or other languages and the ability to

quickly switch between them with ease.

● Advanced working SQL kno

📌 Sr. Data Engineer (India)
🏢 Salesintel.io
📍 India