Lead Data Engineer

Designation : Lead / Principal Software Engineer Experience : 12+ Years

Location : Bangalore

Education : B.E / B.Tech / Masters

At Algonomy, we believe the future of our economy is Algorithmic, where businesses will develop resilient, adaptive and agile decisioning abilities that will constantly test and refine AI-driven actions to create the best personal experience for every individual customer at scale.

• We aim to become the algorithmic bridge between consumers and brands / retailers, and to lead our customers through the Algorithmic transformation imperative. The name Algo-nomy signifies an expertise in algorithms. As technology evolves our lives (and our clients’) at hyper-speed, Algonomy stands as a bold, creative and agile brand;

and these are also the very qualities that every digital-first business needs in order to be successful in the new normal. We are ambitious, we create category leading solutions in our markets, and we are constantly learning, inventing and adapting to stay ahead of our industry’s needs

Are you interested in building systems to handle petabytes of retail data, while working in an agile and nimble organization? On our Data Platform team, rom ingestion to storage to driving insights and analytics on high velocity stream data.

We’re looking for Engineering leaders with passion for technology, love writing code and likes to build large scale data systems. Ideal candidate will have strong problem solving, analytic, decision-making and excellent communication with interpersonal skills. Candidates should be self-driven and motivated with the desire to work in a fast-paced, results-driven agile environment with varied responsibilities. Candidate should be willing provide technical leadership and mentoring to a small team of highly talented and motivated engineers to deliver these solutions with highest quality.

Primary responsibilities :

Designing high performance Information architecture and Data Management for delivering diverse needs from high velocity data.

Designing and Building systems with Hadoop and Spark (MLib, GraphX), Flink, Mesos, Marathon, Yarn, Kafka

Involve in the algorithm design, research and production scalability.

Designing and implementing data pipelines to support data needs for machine learning (both batch and online), reporting, monitoring, and alerting. (Crunch, Cassandra, Hive, Presto, no-SQL databases)

Software engineering in Java and Scala

Automating tests at various levels, including end to end integration testing with synthetic known data, unit testing with JUnit, performance testing and tuning

Delivering analytics using standard Business intelligence tools

Working with rapid and innovative development methodologies like : Kanban, Continuous Integration and Daily deployments

Mentoring and raise the bar by improving the team’s definition of best practices and architecture with deep domain knowledge.

Engage with Product Management and Business to create Product roadmap, own technical backlog and roadmap for technology supremacy.

Evangelize solution with Professional services and Customer Success teams to drive adoption.

Driving various organization wide activities like Hackathon, Ideathon, brown bag sessions and technical blogs

Minimum requirements :

B. Tech / M.Tech in Computer Science Engineering or related fields with at least 12 years of experience in related field

At least 4 years of designing and managing systems with PB scale data volume and high velocity streaming data

High level of experience working with Big data tools : HDFS / S3, Spark / Flink,Hive,Hbase, Kafka etc

Hands on experience in object oriented or functional programming such as Scala or Java or Python

Hands on experience in coding using distributed computing architecture such as Spark

Good data analysis, correlation and reasoning skills

Knowledge and Experience working with cloud platforms.

Knowledge of Container management framework such as Docker, Mesos, Microservices framework for data as utility

Proficient in data modeling with advanced knowledge of data structures

Additional language skills for scripting and rapid application development

Desired skills and experience :

Knowledge of numerical programming, data science, machine learning and / or statistics a strong plus

Familiarity with UNIX (systems skills a plus)

Working in a distributed environment and has dealt with challenges around scaling and performance

Knowledge of Business Intelligence & datawarehouse is added advantage

About the Company :

Algonomy helps consumer businesses maximize customer value by automating decisioning across their retail business lifecycle with AI-enabled solutions for eCommerce, Marketing, Merchandising, and Supply Chain. Algonomy is a trusted partner to more than 400 leading brands, with a global presence spanning over 20 countries. Our innovations have garnered recognition from top industry analysts such as Gartner and Forrester—more at