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hopscotch
hopscotch cover picture
Founded :
2011
Type
Size
Stage

About

Hopscotch is a leading kids fashion brand in India that uses technology to provide fast fashion apparel to consumers across the globe. Founded in 2012 by Harvard Business School Alumni Rahul Anand and Lisa Kennedy, the company is headquartered in Mumbai and has an office in China. With over 3 million monthly active users, Hopscotch continues to grow three folds every year by launching hundreds of new styles daily using data to foresee future trends.
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Jobs at hopscotch

hopscotch
at hopscotch
Agency job
via VMultiply Solutions by sunitha sodadasi
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Bengaluru (Bangalore)
5 - 8 yrs
₹6L - ₹15L / yr
skill iconPython
Amazon Redshift
skill iconAmazon Web Services (AWS)
PySpark
Data engineering
+3 more

About the role:

 Hopscotch is looking for a passionate Data Engineer to join our team. You will work closely with other teams like data analytics, marketing, data science and individual product teams to specify, validate, prototype, scale, and deploy data pipelines features and data architecture.


Here’s what will be expected out of you:

➢ Ability to work in a fast-paced startup mindset. Should be able to manage all aspects of data extraction transfer and load activities.

➢ Develop data pipelines that make data available across platforms.

➢ Should be comfortable in executing ETL (Extract, Transform and Load) processes which include data ingestion, data cleaning and curation into a data warehouse, database, or data platform.

➢ Work on various aspects of the AI/ML ecosystem – data modeling, data and ML pipelines.

➢ Work closely with Devops and senior Architect to come up with scalable system and model architectures for enabling real-time and batch services.


What we want:

➢ 5+ years of experience as a data engineer or data scientist with a focus on data engineering and ETL jobs.

➢ Well versed with the concept of Data warehousing, Data Modelling and/or Data Analysis.

➢ Experience using & building pipelines and performing ETL with industry-standard best practices on Redshift (more than 2+ years).

➢ Ability to troubleshoot and solve performance issues with data ingestion, data processing & query execution on Redshift.

➢ Good understanding of orchestration tools like Airflow.

 ➢ Strong Python and SQL coding skills.

➢ Strong Experience in distributed systems like spark.

➢ Experience with AWS Data and ML Technologies (AWS Glue,MWAA, Data Pipeline,EMR,Athena, Redshift,Lambda etc).

➢ Solid hands on with various data extraction techniques like CDC or Time/batch based and the related tools (Debezium, AWS DMS, Kafka Connect, etc) for near real time and batch data extraction.


Note :

Product based companies, Ecommerce companies is added advantage

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