Data Engineering Lead | MUNCH:ON, Lahore

Job Responsibilities:

Constantly maintain, grow, and evolve the data engineering clusters at MunchON. Introduce a new set of technologies wherever required
Create and maintain optimal data pipeline architecture
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, NOSQL, and ‘big data’ technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Keep our data separated and secure across boundaries through multiple data centers by following data security standards.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.

Job Requirements:

Programming Languages (proficiency might vary but variety is nice to have).
SQL Databases, NoSQL Databases, Apache Airflow or ETL tools, Apache --Spark or similar scalable computing engines.
ELK Stack, Hadoop Ecosystem, Apache Kafka plus, some experience of cloud services like AWS, Google Cloud.

JAUIQ