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Job Location: Mumbai
Skills & Qualities Required:
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Inquisitive, Innovative, Proactive
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Proactive & Go getter who can work with minimal supervision
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Strong knowledge and experience in Python, Pandas, Numpy, Data wrangling, ETL
processes, Statistics, Data Visualisation and Data Modelling
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Have experience in using both SQL and NoSQL database
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Experience with Data Streaming and Big Data Tools(Hadoop, Spark, Kafka, etc)
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Experience with Python Frameworks(Django, Flask, etc)
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Experience with reporting tools(Tableau, PowerBI, etc)
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Should have strong engineering fundamentals(Algorithms, Data structures, design patterns, etc)
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Should have Good grip on object oriented programming or functional programming paradigm
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You will work on:
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Designing infrastructure for data
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Build data pipelines, includes implementing, testing, and maintaining infrastructural components related to the data engineering stack.
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Define database architecture needed to combine and link data, and ensure integrity across different sources
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Work with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced data handling techniques if needed
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Automation of Data Related Business Activities (Recons, Invoicing).
- Automation of Reporting mechanism.
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Auto-detection and alert mechanism for errors in the data.
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Work closely with Data Scientist, ML Engineers, Developers and Project/Product Managers to gather data engineering requirements to prototype, develop, validate and deploy different solutions.
Job Types: Full-time, Contract
Benefits:
- Cell phone reimbursement
- Food allowance
- Health insurance
- Internet reimbursement
- Leave encashment
- Paid sick time
- Paid time off
- Provident Fund
- Work from home
Schedule:
- Day shift
- Monday to Friday
Supplemental Pay:
- Joining bonus
- Performance bonus
Application Question(s):
- How many years of experience you have in Data Engineering?
Work Remotely:
- Temporarily due to COVID-19
Servify | Hiring | Data Engineer | BigDataKB.com | 1/11/2022
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