Profile - Data Engineer/Analyst
Experience – 5+ Years
Budget – 25 LPA
Onsite -Bangalore
Timeline – Immediate.
The current tools and tech stack relevant to the role are:
Elasticsearch: datastore where processed data is stored and would be queried from
Kibana, Grafana: platforms for building and hosting visualizations and dashboards
Strong proficiency with Python, especially towards data handling and analytics:
Data handling and manipulation libraries (. pandas, numpy)
Visualization libraries (. seaborn, matplotlib)
Dashboarding libraries to build and host dashboards (. Bokeh)
Basic proficiency with modeling (. sklearn, linear regression)
Python is also currently used for its libraries in connecting and querying from Elasticsearch, as well as reporting through Slack.
Experience
4 - 5 Years
No. of Openings
5
Education
B.C.A, B.E, M.C.A, M.Tech
Role
Data Engineer
Industry Type
IT-Hardware & Networking / IT-Software / Software Services
Gender
[ Male / Female ]
Job Country
India
Type of Job
Full Time
Work Location Type
Work from Office