Data Engineer

Business Brio; Kolkata District; On-site; INR 900,000 - 1,800,000; Full time

Job summary

Business Brio in India seeks a data analytics engineer to work with senior executives, transform business requirements into data-driven insights, and build automated dashboards.

You will clean, preprocess, merge data from multiple sources, define KPIs, and deliver reports that combine tables and visualizations using Python, Power BI or Tableau, and SQL. Strong communication in English is essential.

Qualifications

• Graduate degree in STEM fields such as Mathematics, Economics, Computing.
• Strong data cleaning, preprocessing and data integration capabilities.
• Experience building automated dashboards for business users.
• Fluent English communication and ability to interact with senior executives.

Responsibilities

• Interact with senior-level business executives to understand requirements.
• Collate, analyze, and report data with numerical tables and visualizations.
• Defining KPIs and metrics; suggest data improvements as needed.
• Clean, preprocess, and merge data from multiple sources.
• Build automated dashboards and reports using BI tools and Python.

Skills

Python data engineering

Numpy / Pandas

Plotly / PyMongo

API development in Python

Power BI / Tableau

SQL / MySQL

Big data handling (MongoDB)

SPSS / KNIME / Alteryx (basics)

Javascript / HTML / CSS basics

Education

Graduation in STEM

Tools

MySQL Workbench

phpMyAdmin

MongoDB

Job description

The person should interact directly with senior-level business executives of the client organization and understand the business requirements, collate, understand, and analyze the data, and prepare/build reports / automated dashboards. The reports / automated dashboards will be a judicious and effective mix of numerical tables (including appropriate statistical measures) and visualizations through charts/diagrams. The representation might require (re)defining metrics / KPIs or suggestions to the client about inadequacies in the data if such is the case. It would involve data cleaning, preprocessing, merging, integration from different sources.

Requisite Skills:

Technical:

Advanced level skill in python for data engineering - data cleaning, processing, report preparation using numpy, pandas, plotly, pymongo etc. by connecting to multiple data repositories (like RDBMS, Mongodb etc.).

Advanced level skill in writing functions/APIs in python and consuming APIs from different data sources for data integration (like Google, Salesforce etc.)

Working-Level skills with MS Power BI /Tableau including statistical analysis, geospatial representation of data, and connecting to multiple data repositories (like RDBMS, CSV files, etc.). Must have skills in creating automated dashboards

Working-level skills with MySQL (preferred, or other RDBMS) and writing SQL queries (select using primary and foreign keys, merge, joins, etc.) in some GUI front-end tools like MySQL Workbench or phpMyAdmin and big data like mongdb

Basic-level skills (Optional) with at least one GUI-based or workflow-based statistical / analytics tools like SPSS, Minitab, KNIME, Altryx

Working-level skills in BI reporting / statistical/mathematical / data science-related programming in Python. Some basic-level skills in visualization/graphics libraries (like ggplot2, plotly, etc) and app frameworks (like Python Dash, Flask, Django) is desirable and will be preferred

Basic-level skills in Javascript, HTML, CSS etc. for front-end BI/ML app development

Non-technical:

Fluent and excellent oral and written communication skills in English

Work in cross-functional and cross-cultural teams involving both technical and business members and stakeholders

Translating business requirements to technical requirements and explaining the outcome of technical analysis in an easily comprehensible manner to non-technical clients

Self manage work planning and time management to complete tasks / projects on time with excellent quality

Work Experience:

Between 3 to 5 years in a full-time data analysis/data engineering position applying most of the skills as indicated above

Academic Qualification:

Minimum graduation degree from a reputed university, preferably in STEM subjects like Mathematics, Economics, Computing etc.

Selection Process:

Personal interview with a strong emphasis on technical knowledge. It is highly desirable that the candidate is able to demonstrate some of his/her past work in the requisite skill areas.

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