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Lead Data Engineer

India, Karnātaka, Bengaluru/MumbaiData Analytics

Job description

About CoinDCX

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.

Job requirements

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

Big 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

  • Linkedin Learning

India, Karnātaka, Bengaluru/Mumbai
Data Analytics