Software Development Engineer III, Data Engineering [YF-996]

Software Development Engineer III, Data Engineering [YF-996]

14 Nov
Gurgaon district

14 Nov


Gurgaon district

Job Description

Why are we building UrbanClap?

Organised service commerce is a large yet young industry in India. While India is a very large market for home and local services (~USD 50 Billion in retail spends) and expected to double in the next 5 years, there is no billion-dollar company in this segment today. The industry is barely ~20 years old, with a sub-optimal market architecture typical of an unorganised market fragmented supply side operated by middlemen. As a result, experiences are broken for both customers and service professionals, each largely relying upon word of mouth to discover the other. The industry can easily be 1.5-2x larger than it is today,

if the frictions in user and professionals journeys are removed and the experiences made more meaningful and joyful.

UrbanClap is a services platform, with the bold ambition to organize the key verticals within the service commerce industry, bringing in the benefits of scale - structured processes, systems, standardisation, transparency and trust. This platform will enable billions of dollars in commerce annually, and create jobs for 1 million service professionals. The key industries that we are going to organize over the next few years include home improvement, home maintenance & repairs, appliance repairs, salon spa & makeup services, fitness & health at home, academic tuitions, photography & events, packing & moving etc.

Vision of UrbanClap Data Engineering:

Data is central to all decision making at UrbanClap. We capture wide range of data - customer requests, user behavior, partner behavior, campaign performance, partner location live tracking etc. Data helped us solve critical business problems such as match making (finding most suitable pro for each request), identify supply gaps at category and city level, automatic bidding of keywords in SEM, fraud detection and anomaly detection

The core component of all the data products the is the data pipeline.

Our vision is to make the data pipeline architecture scalable, reliable, accurate, near real time, involves low maintenance and low cost. Data Platform to have backfill mechanism to handle computation logic changes.

Role of Lead Data Engineer:

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources

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

Implement standardized, automated operational and quality control processes to deliver accurate and timely data and reporting to meet or exceed SLAs

Job Requirements:

Bachelors/master's in computer science form top tier Engineering School

4-7 years prior engineering experience in building scalable systems

Experience with big data tools: Hadoop, Spark, Kafka, etc.

Experience with Relational SQL and NO SQL data bases like HBase, Cassandra etc.

Experience with Data pipeline and workflow management tools like Luigi, Airflow etc

Experience with stream-processing systems: Storm, Spark-Streaming, etc.

Proven ability to work on fast paced environment.

History and Familiarity of server-side development of APIs, databases, dev-ops and systems.

Fanatic about building scalable and reliable data products

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