Architect - Big Data

Our Team

PharmEasy was founded in 2015 with the sole purpose to make healthcare easily available, accessible and affordable to all through the extensive use of new-age cutting-edge technology. Today, we are one of India’s largest healthcare aggregators connecting lakhs of patients to licensed pharmacies & diagnostic centres online for all their medical needs. We are particularly catering to the chronic-care segment, and offer a range of services including medicine delivery, tele-consultation, sample collection for diagnostic tests as well as subscription-based services for all these categories.

Our highly efficient and technology led Consumer and Supply-chain platforms ensure that medicines are delivered from a licensed pharmacy within six hours of the validation of prescriptions submitted by our customers. And such customer promises are improving with the increasing scale of our business, and continuous product innovation.

By extensively leveraging the latest in hardware and software technology, we are also committed to
eradicate fake medicines from the Pharma ecosystem that contribute to roughly 30% of drug volumes in India. Our product innovations have allowed for complete data transparency in the entire Pharma supply- chain to empower even the end-users to validate the authenticity and genuineness of the medicines for every medicine sold, using constructs such as unique barcoding of information like expiry dates, origination of drugs etc.

With our scalable technology and processes, we are now reliably delivering healthcare services and
medicines to every single pin code in the country.

Data Platform @ Pharmeasy

Data Platform Engineering at 'PharmEasy' builds distributed components, systems, and tools that power decisions at 'PharmEasy'. We have an incredibly rich dataset to collect, transform, and analyze in order to improve the effectiveness of our marketplace and create delight for our customers. The data scientists, machine learning engineers, and other engineers and analysts use this data to make the experience of using 'PharmEasy' Platform better for the customers. We leverage existing open source technologies like Kafka, Hadoop, Redshift, Hive, Presto, Spark, and also write our own. As a member of our team you would spend time designing and growing our existing infrastructure, democratizing data access at the company, and promoting the correct use of data and analytics at the company.

Architect @ Pharmeasy:

PharmEasy is looking for a results-oriented Architect. An ideal candidate for us would thrive
in a fast-paced environment and enjoy the challenge of complex business contexts that are typically being defined in real-time, and will be a passionate builder of talent and teams.

In this role, you will be responsible for mentoring and coaching multiple teams of software developers, across pods, to create world-class technology products and platforms that are at the forefront of the technology revolution in the Indian healthcare ecosystem. You would be reporting directly to the VP/Head of engineering. You are someone who insists on the highest standards for quality, maintainability, and performance. You not only adopt, but also define the engineering best practices that inspire your teams to build top quality software products that are highly available, dynamically scalable and resilient to continuity threats.

Responsibilities :

Own the architecture and design of scalable, fault tolerant and resilient services across the organization.
High on technical ownership and day-to-day assessment of applications tech metrics
Visualize and establish the long-term architectural approach, focusing on platforms and reusable components
Establish practices and processes to ensure that deliverables are of high quality, reliable, and extensible. Mentor the engineering team to follow the established processes and practices.
Drive the architecture and design governance for components, systems, and products under scope, as well as code and design reviews.
As an integral part of the Data Platform team, take ownership of multiple modules from design to deployment.
Extensively build scalable, high-performance distributed systems that deal with large data volumes.
Provide resolutions and/ or workaround to data pipeline related queries/ issues as appropriate
Ensure that Ingestion pipelines that empower the Data Lake and Data Warehouses are up and running.
Collaborate with different teams in order to understand / resolve data availability and consistency issues.
Exhibit continuous improvement on problem resolution skills and strive for excellence

What are we looking for?
● Overall 7 - 10 years of experience in the software industry with minimum 3 - 4 years on Big Data and related tech stacks.
Strong experience in designing big data systems.
Strong Java core programming skills.
Good to have programming skills in Python and Scala.
Would have worked on Data at scale.
Ability to read and write SQL - and understanding of one of Relational Databases such as MySQL, Oracle, Postgres, SQL Server.
Development experience using Hadoop, Spark, Kafka, Map-Reduce, Hive, and any NoSQL databases like HBase.
Exposure to tech stacks like Flink, Druid, etc.
Prior exposure to building real time data pipelines would be an added advantage.
Comfortable with Linux with ability to write small scripts in Bash/Python. Ability to grapple with log files and unix processes.
Prior experience in working on cloud services, preferably AWS.
Ability to learn complex new things quickly
Bengaluru, India, in
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