Lead Data Engineer
India, Karnātaka, Bengaluru/MumbaiData Analytics
Trusted by more than 1.3 crore Indians, CoinDCX is one of the largest players in India's crypto ecosystem. Our vision is to create a more open and accessible future and we believe that web 3 will play an important part. We’ve already ventured into Web 3 in 2021 by investing in promising Indian Web 3 startups via CoinDCX Ventures, launching Okto - a Defi app to access thousands of tokens on multiple DEXs across chains. We learn and build something new CoinDCX every time.
The Web 3 space is still new and we’re just getting started!
Inside CoinDCX’s Data Analytics Team
Our Data Analytics team is an awesome group of collaborators, who love to solve first of its kind problems with a lot of autonomy, creativity and fun.
As a team they fulfil the needs, wants and desires of our patrons by finding the key levers that enable them to use our platforms better. You help them do more.
At CoinDCX you not only will be the skill of the future but also you will get to work and learn from the best while building the future of Web3.
Coin your trust in us as we create magic together!
Who you are
You’re passionate about everything Crypto and Web3.0
You take ownership and have a thirst for excellence with an impact driven and result oriented mindset.
You grow while helping others grow with you
You thrive on change, have attention to detail and passion for quality
You love exploring new ideas to build something useful and are always curious to learn.
What you’ll do
Design & Build reliable, scalable, CICD driven streaming and batch data engineering pipelines.
Work in collaboration with Data scientists, ML engineers, Stakeholders to build a platform for enabling data-driven decisions.
Oversee and govern the expansion of the current data architecture and the optimization of query and data warehouse.
Create a conceptual data model to identify key business entities and visualize their relationships
Create detailed logical models using business intelligence logic by identifying all the entities, attributes, and their relationships
Create a taxonomy/data dictionary to communicate data requirements that are important to business stakeholders work on acquiring external data sets through APIs and/or Websockets and prepare physical data models on top of that
Acts as team lead stay current with new and evolving tech stack. Guide and mentor team of Data Engineers.
What you’ll bring
7+ years of Experience in building Data Engineering pipelines & Data Governance using modern Cloud Architecture.
Proficient in Databricks, Spark, Data Lake, Kaka/Kinesis
Experience in Any Cloud DW Redshift/Snowflake/BigQuery/Synapse
Experts Programming in Any one - Python/Scala/Java (Python preferred)
Design, Test-driven development, code review and implement CICD using Github/Gitlab/Docker
Good understanding of ETL/ELT technology and processes
Basic knowledge of Apache Airflow would be a plus
Basic knowledge of Data Modeling tools (dbt, dataform, Alteryx, Informatic,etc) would be a plus
Experience in ML ops and tools for Model Reproducibility, Deployment, packaging,
monitoring and Model retraining.
Experience in Lakehouse Architecture using Databricks.
What’s in it for you
Unlimited Wellness Leaves
Personalised Mental Wellness & Caregiving sessions by Experts
Recharge and Rejuvenate through team outings
DYOB - Design your Own Benefit