Senior Data Engineer

POSITION: Senior Data Engineer

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.
● 10+ years of relevant and recent experience in a Data Engineer role.
● 5+ years recent experience with Apache Spark and solid understanding of the
fundamentals.
● Deep understanding of Big Data concepts and distributed systems.
● Strong coding skills with Scala, Python, Java and/or other languages and the ability to
quickly switch between them with ease.
● Advanced working SQL knowledge and experience working with a variety of relational
databases such as Postgres and/or MySQL.
● Cloud Experience with DataBricks
● Experience working with data stored in many formats including Delta Tables, Parquet,
CSV and JSON.
● Comfortable working in a linux shell environment and writing scripts as needed.
● Comfortable working in an Agile environment
● Machine Learning knowledge is a plus.
● Must be capable of working independently and delivering stable, efficient and reliable
software.
● Excellent written and verbal communication skills in English.
● Experience supporting and working with cross-functional teams in a dynamic
environment.

REPORTING: This position will report to our CEO or any other Lead as assigned by
Management.

EMPLOYMENT TYPE: Full-Time, Permanent

LOCATION: Remote (Pan India)

SHIFT TIMINGS: 2.00 pm-11:00pm IST