SOFTWARE ENGINEER - Data

Are you interested in having your products be used by 1000s of brands globally? Does building a global brand excite you? Does having your solutions be used by the world’s top brand get you up from bed? GrowByData is on a mission to expand its distribution to the world’s retailers and is seeking energetic, creative, and self-driven individuals to join the challenge. We are looking for motivated, and talented individual to join us as Software Engineer to deliver our enterprise platform!

TITLE: SOFTWARE ENGINEER - Data

RESPONSIBILITIES

• Help define, implement, and reinforce data engineering best practices and processes
• Fearlessly work across components, services, and concerns to deliver business value
• Identify bottlenecks and bugs, and devise solutions to mitigate and address the issues
• Ensure the highest level of commitment for the best possible performance, quality, and responsiveness of applications
• Write well designed, testable, efficient code after researching, consulting, analyzing, and evaluating the business needs
• Execute full lifecycle software development providing support in all phases and ensure delivery of fully functional software systems and high-quality products
• Work closely with product architect and/or product owner to define/refine architecture for any new/old product architecture for efficiency and scalability
• Work closely with functional managers to monitor the progress of the tasks and suggest appropriate steps to make sure tasks are delivered as per the estimated timeline.
• Work closely with services and client-support team to integrate your amazing innovations and algorithms to our production systems
• Maintain strict confidentiality of your work
• Mentor the juniors to solve complex problems.
• A cultivated commitment to testing every aspect of the code
• Complete assigned projects in a timely and efficient manner
• Communicate proactively and effectively with team members, leads, management, and clients where necessary
• Assist in creating a friendly, entrepreneurial, and A+ corporate culture in Nepal

REQUIREMENTS

• Strong knowledge of version control system (git)
• Experience working in an Agile development process
• Experience in bash scripting, makefile, docker, and Linux ecosystem
• Ability to thrive with a practical/result-oriented approach in a fast-paced dynamic environment
• Experience of the AWS data ecosystem (S3, lambda, redshift, aurora, quicksight, athena, etc.)
• Experience with ingesting, processing, and transforming structured or unstructured data at scale
• Strong analytical skills to analyze data, draw conclusions, and generate actionable recommendations
• Proficiency with relational database (MySQL, Postgresql, etc), NoSQL (MongoDB, elasticsearch, etc)
• Proficient understanding of on-premises and cloud implementation distributed computing principles
• Strong knowledge of high-performance scripting in Python, bash, and other common languages used in data science
• Hands-on knowledge of data analysis (pandas, dash, numpy, scipy, pyspark, etc) and data visualization (matplotlib, seaborn, etc)

EDUCATION: B.E – Computer Science, Information Science or related. An equivalent in working experience is also acceptable.

EXPERIENCE: Work experience in Data Engineering over one year will be preferred.

If the challenge excites you, please apply with your CV, your work sample, and 3 reasons why this excited you. Feel free to send your work samples from the industry or otherwise to prove yourself. Email: inquiries@growbydata.com to be considered immediately.