Data Engineer

dubizzle

Lahore, Punjab
Permanent
Full-time

1 month ago

You will be participating in exciting projects covering the end-to-end data lifecycle – from raw data integrations with primary and third-party systems, through advanced data modeling, to state-of-the-art data visualization and development of innovative data products.You will have the opportunity to learn how to build and work with both batch and real-time data processing pipelines. You will work in a modern cloud-based data warehousing environment alongside a team of diverse, intense, and interesting co-workers. You will liaise with other departments – such as product & tech, the core business verticals, trust & safety, finance, and others – to enable them to be successful.Your responsibilities

Design, implement and support data warehousing;
Raw data integrations with primary and third-party systems
Data warehouse modeling for operational & application data layers
Development in Amazon Redshift cluster
SQL development as part of agile team workflow
ETL design and implementation in Matillion ETL
Real-time data pipelines and applications using serverless and managed AWS services such as Lambda, Kinesis, API Gateway, etc.
Design and implementation of data products enabling data-driven features or business solutions
Building data dashboards and advanced visualizations in Sisense for data cloud teams (formerly Periscope Data) with a focus on UX, simplicity, and usability
Working with other departments on data products – i.e. product & technology, marketing & growth, finance, core business, advertising, and others
Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data
Evaluate and improve data quality by implementing test cases, alerts, and data quality safeguards
Living the team values: Simpler. Better. Faster.
Strong desire to learn

Required minimum experience (must)

1- 2 years experience in data processing, analysis, and problem-solving with large amounts of data;
Good SQL skills across a variety of relational data warehousing technologies especially in cloud data warehousing (e.g. Amazon Redshift, Google BigQuery, Snowflake, Vertica, etc.)
1+ years of experience with one or more programming languages, especially Python
Ability to communicate insights and findings to a non-technical audience
Written and verbal proficiency in English
Entrepreneurial spirit and ability to think creatively; highly-driven and self-motivated; strong curiosity and strive for continuous learning
Top of class University technical degree such as computer science, engineering, math, physics.

Additional experience (strong plus)

Experience working with customer-centric data at big data-scale, preferably in an online / e-commerce context
Experience with modern big data ETL tools (e.g. Matillion)
Experience with AWS data ecosystem (or other cloud providers)
Track record in business intelligence solutions, building and scaling data warehouses, and data modeling
Tagging, Tracking, and reporting with Google Analytics 360
Knowledge of modern real-time data pipelines (e.g. serverless framework, lambda, kinesis, etc.)
Experience with modern data visualization platforms such as Periscope, Looker, Tableau, Google Data Studio, etc.
Linux, bash scripting, Javascript, HTML, XML
Docker Containers and Kubernete

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