Data Engineer

Location:

Hyderabad Experience:

2–5 years Notice Period:

Immediate to 15 days We are seeking a highly skilled

Data Engineer

to join our dynamic team. The ideal candidate will have strong experience in building data pipelines, working with modern data platforms, and implementing scalable cloud-based solutions. This role requires hands-on expertise in SQL, Python, PySpark, and AWS, along with solid understanding of data modelling and transformation frameworks.

Key Responsibilities ·

Design, develop, and optimize scalable data pipelines and ETL workflows. ·

Build and manage data models using

DBT

and integrate datasets for analytics and reporting. ·

Work with

Snowflake

to write efficient SQL queries and manage data warehousing activities. ·

Develop distributed data processing solutions using

PySpark

on

Databricks . ·

Implement data ingestion frameworks using Python, APIs, and AWS services. ·

Collaborate with cross-functional teams to understand data requirements and deliver solutions. ·

Ensure data quality, reliability, and performance across pipelines. ·

Deploy and maintain data workflows using CI/CD and version control best practices.

Mandatory Skills ·

Minimum

2 years

of hands-on experience in: o

SQL (Snowflake) o

DBT o

PySpark (Databricks) o

Python

with strong understanding of

OOP concepts o

AWS services : S3, ECS, SQS, Lambda, EMR ·

Experience with file formats:

CSV, JSON, Parquet ·

Experience with

API integrations

using Python ·

Strong

communication skills Secondary / Good-to-Have Skills ·

Experience with

Sigma

or

Tableau

for data visualization ·

Linux CLI

proficiency ·

Python

web scraping

experience ·

Exposure to

Datadog

for monitoring ·

Experience with

GitHub

for version control and CI/CD ·

Knowledge of

Terraform ·

Computer Science degree

from a reputed academic institution