Azure Data Engineer

Infogain

8 - 13 years

32 - 40 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

rest python charts modeling sas mathematics pyspark numpy engineering azure data factory data architecture data engineering dashboards pandas data bricks seaborn data science native app matplotlib data structures etl reporting statistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

Bachelor s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
8+ years of experience in data engineering, with a focus on scalable architecture design.
Strong proficiency in Python, PySpark, Python-based UI libraries and Gradio or Streamlit.
Strong proficiency in Python, especially in Pandas and NumPy.
Strong proficiency in Databricks environment and Native Apps
Hands-on experience with Databricks (notebooks, jobs, lakehouse architecture).
Experience building charts and dashboards using Matplotlib, Seaborn, or Plotly.
Experience in python webapp and rest API development
Good to have understanding of SAS (PROC steps, data handling, stored processes).
Understanding of data structures, statistical methods, and basic analytical modeling.
Good understanding of cloud data architecture and deployment best practices.

JD:

Analyze existing SAS web-based forecasting and reporting applications.
Convert SAS stored processes and PROC logic into PySpark equivalent Native Apps.
Translate SAS data handlers and preprocessing routines to Python-based scripts.
Rewrite forecasting logic and model calculations in Python.
Develop interactive dashboards using Python + Matplotlib/Plotly
Design and deploy user-friendly Apps for real-time interaction with data and forecasting outputs.
Package and deploy the final application within the Databricks App environment.
Collaborate with business SMEs to understand requirements and ensure functional parity with legacy SAS systems.

EXPERIENCE

8-11 Years

SKILLS

Primary Skill: Data Engineering
Sub Skill(s): Data Engineering
Additional Skill(s): Python, ETL, databricks, Azure Data Factory, Pyspark

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