Job Description: Data Engineer

Experience: 3 -5 Years

Location: Remote (Bengaluru)

Employment Type: Full -time

Notice Period: Immediate Joiner

Role Overview

We are seeking a skilled Data Engineer with 3+ years of
experience in building and maintaining scalable data solutions. The ideal
candidate will have hands -on experience across data engineering, data analysis,
and visualization, with strong programming fundamentals and the ability to work
independently in a remote environment.

Key Responsibilities

Design,
develop, and maintain ETL pipelines using PySpark, Apache Airflow, and
Azure Data Factory (ADF).

Build
and optimize distributed data processing jobs using PySpark.

Orchestrate
and schedule workflows using Apache Airflow.

Develop
and manage data ingestion and transformation pipelines in Azure Data
Factory.

Write
clean, productive, and reusable code using Python .

Develop
and optimize complex SQL queries for MySQL and PostgreSQL databases.

Work
with MongoDB for handling semi -structured and unstructured data.

Perform
data analysis using Pandas and NumPy to support business insights.

Create
basic to intermediate data visualizations using Matplotlib, Power BI, and
Streamlit.

Monitor




data pipelines, troubleshoot issues, and ensure data quality and
performance.

Collaborate
with cross -functional teams including analysts, data scientists, and
product teams.

Required Skills & Qualifications

Programming Languages

Proficiency
in Python

Databases

Strong
experience with MySQL and PostgreSQL

Hands -on
exposure to MongoDB

Data Engineering

Experience
building ETL/ELT pipelines

Hands -on
with PySpark for large -scale data processing

Experience
using Apache Airflow for workflow orchestration

Experience
with Azure Data Factory (ADF)

Data Analysis & Visualization

Hands -on
experience with Pandas and NumPy

Ability
to create visualizations using Matplotlib

Experience
with Power BI for dashboards and reporting

Exposure
to Streamlit for building data -driven applications

Good to Have

Experience
with Azure data services (Azure Data Lake, Synapse Analytics).

Familiarity
with Git and version control best practices.

Basic
understanding of data warehousing concepts.

Exposure
to cloud -based deployments and CI/CD pipelines.

📌 Data Engineer (Bengaluru)
🏢 Evnek Technologies
📍 Bengaluru