Data Engineer at a fast growing funded retail startup

We’re looking for a talented engineer to help build the next generation of analytics tools at WalkIn and manage our data pipeline. You need to have strong programming and analytical skills and will be engaged in building components for the WalkIn Analytics Platform, specifically related to data engineering. You’ll have strong problem solving capabilities, be a team player and have great communication skills. You also need to be goal-oriented, have the ability to understand the core architecture and take up responsibility of product feature development. You must be a highly technical, hands-on developer with passion for producing high standard and robust code.

We value those with an entrepreneurial spirit and those who bring experience from established organizations. You ought to be comfortable in dealing with lots of moving pieces. You must have excellent attention to detail; and you should be flexible and comfortable to learn new technologies and systems.

Responsibilities

• Be a key member of the analytics team that will own the core company data pipeline, responsible for scaling up data processing flows to meet the rapid data growth at WalkIn platform.
• Collaborate with the engineering team at WalkIn to make sure that they’re collecting the data they need, and that they have the skills and tools to analyze the data.
• Support and empower product and business teams in making the most of our analytics tools.
• Implement systems tracking data quality and consistency.
• Develop tools supporting self-service data pipeline management (ETL).

Skills & Requirements

• Hands-on programming experience with Python
• Proficient in at least one of the SQL languages (MySQL, PostgreSQL) and ability to write complex SQLs.
• Preferably an understanding of the various components involved in a big data processing system. Ex: Hadoop, HIVE, DAGs, Warehouse, ElasticSearch, Queues (SQS, Kafka) etc. Experience with workflow management tools (Digdag,Airflow, oozie, Azkaban, UC4) is preferable.
• Familiarity with GitHub/GitLab and agile/scrum methodologies.
• Comfortable working directly with data analytics to bridge business requirements with data engineering.

Educational Requirements

• B.E/M.E Computer Science.

Job Perks

• Have a meaningful impact on end customers and their experience with retail chains.

• Obtain valuable experience in the rapidly growing retail industry.

• Competitive salary, equity compensation and wellness perks.

• Our office is in Koramangala area in Bangalore, often referred as startup capital in India, neatly nestled among shops, restaurants, and has convenient travel options.