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Private Jobs / Private Sector
BOX8 Hiring for Data Engineer at Bengaluru, Karnataka, India Full Time
The DataTech team is primarily responsible for the solution of business-related problems by upscaling through automation. Here, we focus on creating robust systems using the latest technological tools and continuous research just like a R& amp; D Department. The team consists of a handful of techpreneurs wearing multiple hats of a Business Analyst, Data Scientist, and Data Engineer.
Responsibilities
- Create and maintain optimal and resilient data pipeline architecture for greater scalability
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Expected to spend most of the time with Advanced SQL, Python, and other technologies for data cleaning, wrangling, munging, etc with an open mind to learn any new technologies
- Own the design, development, and maintenance of ongoing/ new projects, metrics, and analysis
- Can design dashboards to drive key business decisions
- Can model datasets and can partner with leaders to answer key business questions
- Should be analytical, creative, and quick to absorb business knowledge
- Work closely with other teams on topics related to data requirements, cleanliness, accuracy, etc
- Work with analytics and data scientist team members to assist them in productionizing their ML models or other production codes
Requirements
- BE / B. Tech (Preferred – Candidates from Tier I Colleges with Computer Sc. Engineering)
- 1-3 years of relevant experience in the Data engineering field
- Experience in: Python Coding or Scripting[specifically pandas, numpy, matplotlib, scipy, and other data wrangling or analysis libraries] [additionally Tensorflow, Keras, and SciKit-Learn will be a plus]
- Advanced SQL Querying, shell scripting, and GIT
- Knowledge/hands-on experience with Airflow
- Understanding of Data Warehouse concepts and hands-on experience in SQL query tuning
- Relevant working knowledge on DBs like:
- Rdbms: Postgresql (Preferred) / Mysql / MS SQL server
- Nosql: ElasticSearch (Preferred) / MongoDB / Cassandra
- Data Warehouse: Amazon Redshift(Preferred), BigQuery
- Other DBs/storages: Firebase, GCS, S3
- Knowledge of redshift administration skills
- Experience in cloud platform(s) (preferably AWS)
- Experience in Devops/ML-ops environment is a plus
- Knowledge of the FMCG Industry will be an add on
This job was posted by Payal Verma from Box8.