Senior iOS Developer

Job Responsibilities:

• Design and build advanced applications for the iOS platform
• Collaborate with cross-functional teams to define, design, and ship new features.
• Unit-test code for robustness, including edge cases, usability, and general reliability.
• Work on bug fixing and improving application performance.
• Continuously discover, evaluate, and implement new technologies to maximise development efficiency.
• An effective team player with the ability to work on his own initiative in order to achieve urgent deadlines. Thrives in any busy fast-moving work environment.
• Excellent time management skills with a proven ability to work comfortably under pressure in order to get a job done.
• As a member of the Scrum team, participate in daily stand-up meetings, project status meetings as well as retrospective meetings, and iteration reviews.
• Adhere to best practices and coding standards in all development projects.
• Respond well to training in new subjects and strive to respond correctly “first time” to the constant challenge of change.

Job Requirement:

• 2+ years of professional experience working as an iOS developer in a software house.
• Object-Oriented Programming experience with Swift 4.0 and above
• Experience in developing UIs for different screen dimensions
• Experience working with Frameworks such as Core Data, Payment Gateways, Core Graphics, Core Text, Google Services, Realm DB,
• Understanding of Apple’s design principles and interface guidelines
• Good understanding of Create/Consume Web Services
• Solid understanding of Web Service standards (JSON, REST, etc).
• Experience with third-party libraries and APIs. Complete integration knowledge of Google APIs, especially Google location-based service APIs.
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
• Solid understanding of the full mobile development life cycle.

Data Engineering Lead 

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.