Big data developer (python and spark) Jobs

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Data Engineer

Servify -
Mumbai, Maharashtra

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Job details

Qualifications

Power BI
Data modelling
Big data
Spark
NumPy
NoSQL
Tableau
SQL
Pandas
OOP
Django
Kafka
Data visualization
Flask
Python
Hadoop
Design patterns

Full job description

Key Responsibilities

Designing infrastructure for data.
Build data pipelines, includes implementing, testing, and maintaining infrastructural components related to the data engineering stack.
Define database architecture needed to combine and link data, and ensure integrity across different sources.
Work with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced data handling techniques if needed
Automation of Data Related Business Activities (Recons, Invoicing).
Automation of Reporting mechanism.
Auto-detection and alert mechanism for errors in the data.
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.

Must Haves

Inquisitive, Innovative, Proactive.
Proactive & Go getter who can work with minimal supervision.
Strong knowledge and experience in Python, Pandas, Numpy, Data wrangling, ETL processes, Statistics, Data Visualisation and Data Modelling.
Have experience in using both SQL and NoSQL database
Experience with Data Streaming and Big Data Tools(Hadoop, Spark, Kafka, etc)
Experience with Python Frameworks(Django, Flask, etc)
Experience with reporting tools(Tableau, PowerBI, etc)
Should have strong engineering fundamentals(Algorithms, Data structures, design patterns, etc)
Should have Good grip on object oriented programming or functional programming paradigm

Work With Us

Inclusive culture
Flexible leave policy
Competitive compensation
ESOPs for all
Lots of fun

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