Key Facts

Remote From:

Full time

English

Hard Skills

Data Modeling Dataframe Python (Programming Language) Apex Data Loader Pandas (Python Package) Dimensional Modeling Data Transformation Relational Model Data Migration Database Schema System Migration Storages Data Collection Data Encoding Apache Spark

Roles & Responsibilities

Strong proficiency in Python programming
Experience with DataFrames using pandas or PySpark
ETL pipeline development experience
Data modeling expertise (relational or dimensional models)

Requirements:

Build reliable ETL pipelines for data ingestion, transformation, and loading
Design schemas and data models (relational or dimensional)
Migrate data between storage systems, formats, or environments
Work with Python and DataFrames (pandas or PySpark) to process data

Elfonze Technologies

About Elfonze Technologies

Elfonze Technologies is an IT service and consulting firm established in 2021. It started with delivery centers in Bengaluru and Denver, and by the end of its first year, it had a strong focus on Oracle Enterprise Consulting. The following year, the company expanded to Bhubaneswar and introduced an Electronics System Design and Manufacturing (ESDM) vertical. In 2023, Elfonze diversified its product portfolio with innovative solutions and strategic partnerships. It opened a Pune office and launched Connected Supply Chain Services. Key achievements include expansion to four locations, diversification into five verticals, serving over 50 global clients, a 400% growth rate, a strong team of over 200, and high client satisfaction. The founders' century of combined experience in IT and enterprise consulting has been fundamental to Elfonze's success. The company operates in multiple verticals including IT services, consulting, product development, and more, showcasing its adaptability and commitment to excellence.

Company type: Scaleup

Founded: 2018

Company size: 201 - 500

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Job description

This is a remote position.

Python programming with strong proficiency.
DataFrames, especially using libraries like pandas (or PySpark DataFrames).
ETL pipeline development: building reliable data ingestion, transformation, and loading processes.
Data modeling: designing schemas, working with relational or dimensional models.
Data migration: moving data between storage systems, formats, or environments.