Associate Image Processing Engineer

At smallcase, our mission is to change how India invests. We develop delightful, simple & transparent investment products and experiences for individuals to invest in stocks & ETFs. Over 3 million investors use our apps and products on a monthly basis.

In the last 5 years, we have orchestrated a fast-growing ecosystem of 300+ large, fast-growing and ambitious brands in the capital markets ecosystem by building a unique technology platform & API layer. We are a young, innovative team of 250 headquartered in Bangalore, yet operate in a remote-first way.

Smallcase is backed by world-class investors including funds like Sequoia Capital, Blume Ventures, Faering Capital, Premji Invest, institutions like Amazon, HDFC Bank and notable individuals including Hemendra Kothari (DSP), Nithin Kamath (Zerodha), Kunal Shah (CRED), Tanmay Bhat.

About the role

As a Senior Product Analyst, you’ll be the analytics expert of the team, responsible for providing insights from data. Your recommendations would help engineering & product teams make data-driven decisions.

Responsibilities

• Exploring data to find actionable insights and make product recommendations through funnels, cohort analysis, long-term trends, user segmentation, regression models, and more.
• Identify opportunities that directly impact and help in the betterment of user experience or business goals
• Establish correlation & causation of different events in the user journey
• Setting up, analyzing, and promoting good practices for A/B or multivariate experiments.
• Use statistical methods to analyze data and generate useful business reports.
• Manage integrations like Google Analytics, Mixpanel, CleverTap, and Intercom
• Working with engineering to implement, document, validate, and monitor our logging of metrics.

Requirements

• Understanding of different kinds of experiments- AB testing, multivariate, etc
• Understanding of popular analytics frameworks
• Experience working with tools like Mixpanel, Google Analytics, Clevertap, etc.
• You are a self-starter: You drive projects with minimal guidance and focus on high-impact work.
• Strong communicator: You effectively synthesize, visualize, and communicate your ideas to others.
• You are a critical thinker, self-aware, and use the available data to make decisions.
• You work effectively with teammates and win credibility quickly.

Good to have

• 2 to 4 yrs experience as a Product Analyst or Product Manager
• Experience working with MongoDB.
• Fluency in SQL/NoSQL.

Culture at Smallcase

We are not just building a business - we are making a long-lasting impact both in the wealth & assets landscape with our unique technology & expanding ecosystem. Over the last 5 years - our team, products, and platforms have grown - and so have our ambitions. Innovation remains at the heart of what we do. Our other core values are transparency, integrity & long term thinking.

Our key asset has always been our people, and we empower individuals to build and do some of their best work in their lifetimes at Smallcase. Flexibility, ownership and constant feedback loops are some of the ways we keep evolving the working environment and that reflects in one of the highest employee NPS scores in the industry.

• Any programming knowledge (Python/ Java/ Scala)
• Good Experience Elastic search, Kibana, Logstash
• Knowledge on Dev Ops
• Preferable :- AWS or any cloud knowledge
• Ansible, Kibana any visualization tools

VP engineering would be leading the technology (engineering) team of 25 (and counting) to build a world-class SAAS product that is serving 7000+ businesses (or 50,000 users) across the globe. The person would be responsible to oversee the product development and technology research ensuring scalability and effectiveness. The core role would involve leading development, managing team & processes leading to effective technology products as an outcome.

The person would be responsible for leading the product development to scale to a million businesses over the next ten years or 25K businesses in the next 3 years. The person should be able to build a team & process accordingly to ensure a smooth growth path for the product and company. The mission would be to build fully horizontal architecture & micro services with robust security.

• Leading the technology development by learning and researching the best upcoming technology. Analyzing current technology gaps in the system and evangelizing for better state of art technology development.

• Evaluating technology architecture, gaps, and improvisation requirements. Building new architectures for further product development along with elaborated documentations.

• Leading the team of software engineers to guide them with the best technology and process practices. Coaching and motivating the team to ensure enhanced performance across teams. 

• Engaging with Product teams to shape the product roadmap. Working with the tech support team to analyze open issues and bugs and ensure an efficient process for fixing the same.

• Building processes for product development, security audits, new recruitment, technology research, technical documentation, etc. 

• We are looking for a Data Engineer to build the next-generation mobile applications for our world-class fintech product.
• The candidate will be responsible for expanding and optimising our data and data pipeline architecture, as well as optimising data flow and collection for cross-functional teams.
• The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimising data systems and building them from the ground up.
• Looking for a person with a strong ability to analyse and provide valuable insights to the product and business team to solve daily business problems.
• You should be able to work in a high-volume environment, have outstanding planning and organisational skills.

Qualifications for Data Engineer

• Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimising ‘big data’ data pipelines, architectures, and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Looking for a candidate with 2-3 years of experience in a Data Engineer role, who is a CS graduate or has an equivalent experience.

What we're looking for?

• Experience with big data tools: Hadoop, Spark, Kafka and other alternate tools.
• Experience with relational SQL and NoSQL databases, including MySql/Postgres and Mongodb.
• Experience with data pipeline and workflow management tools: Luigi, Airflow.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
• Experience with stream-processing systems: Storm, Spark-Streaming.
• Experience with object-oriented/object function scripting languages: Python, Java, Scala.

Certified Ethical Hacker Requirements:

• Bachelor’s degree in Information Technology or Computer Science.
• CEH Certification.
• Proven work experience of at least 2-5 years as a Certified Ethical Hacker.
• Effective Programming Skills required but not limited to HTML, JavaScript, Python, PHP, SQL etc.
• Advanced knowledge of networking systems and security software.
• In-depth knowledge of parameter manipulation, session hijacking, and cross-site scripting.
• Technical knowledge of routers, firewalls, and server systems.
• Good written and verbal communication skills.
• Good troubleshooting skills.
• Ability to see big-picture system flaws.

• B.Tech/B.E.(IT/Computers), B.Sc( Computers), MSc (IT), BCA (Computer) or any equivalent graduation or post-graduation