Lead Data Engineering

Job description

Lenskart was founded with a vision to help people see the beautiful world by revolutionizing the eyewear category in India and beyond. The ten-year-old company now delivers 7 million + spectacles a year in India and Singapore and plans to ship out over a billion glasses over the next ten years.

Lenskart being an Omni-channel direct-to-consumer retail brand provides a unique ecosystem of a full spectrum of analytics use cases that very few companies in the world provide. This creates a unique challenge and opportunity for professionals to learn and contribute, at the same time solve a 2 billion+ problem.

Analytics is core to Lenskart’s business across several aspects: retail & store analytics, digital & e-commerce analytics, marketing analytics, supply chain analytics, customer service, text analytics, and more.

About Lenskart Analytics Team, Work & Culture -

About the team : https://blog.lenskart.com/introducing-analytics-lenskart-f007bd3b9c02

Lenskart is considered as one of the Top 50 Companies to Work in Data Science, recognized by Analytics India Magazine.

Microsoft Power BI Case Study on Lenskart: Link

Lenskart & ISB Data Science Talk : Link

Lenskart & AI Startup Collaborations : Link 1 , Link 2

We are looking for a Lead Data Engineer to join our growing team of analytics experts. The candidate will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.

Job Requirements

• Experience architecting, building and optimizing big data, data pipelines, architectures, and data sets in an Ecommerce / E-retail srtup.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

• 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.

• A successful history of manipulating, processing, and extracting value from large disconnected datasets.

• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

• Experience supporting and working with cross-functional teams in a dynamic environment.

Job requirements

We are looking for a candidate with 8 – 12 years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field. They should also have experience using the following software/tools:

• Develop and improve the current data architecture using AWS Redshift, AWS S3, AWS Aurora (Postgres), Spark, AWS Glue, and Hadoop/EMR.

• Improve upon the data ingestion models, ETL jobs, and alarming to maintain data integrity and data availability.

• Experience with relational SQL and NoSQL databases including MySQL and MongoDB.

• Experience with data pipeline and workflow management tools like Airflow, etc.

• Experience with stream-processing systems: Kinesis, Spark-Streaming, etc.

• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc

• Strong project management and organizational skills.

• Experience supporting and working with cross-functional teams in a dynamic environment.

• eCommerce domain knowledge is a plus.

Strong project management and team management skill of handing high performance team of 2-3 people.