Job Description

Role: Principal Data Engineer

Location: Hyderabad

Mode: Hybrid

Type: Contract

:

We are seeking a

Principal Data Engineer

with strong enterprise-level

data architecture and engineering

experience, specifically within the

logistics and manufacturing domains

. This role is heavily focused on

architecting and developing

scalable data solutions using the

Azure ecosystem

, including

Databricks

,

ADF

,

Synapse

, and

PySpark

.

Key Responsibilities:

90% focus on data architecture and hands-on development 10% involvement in stakeholder collaboration Design and build scalable data pipelines and models in Azure Implement best practices in data engineering and architecture

Required Skills:

Strong experience in

Azure Data Engineering

(ADF, Databricks, Synapse) Proficient in

PySpark

,

Python

, and

SQL

Solid understanding of

data modeling

(conceptual/logical/physical) Experience with tools like

Erwin

,

Toad

, and

Snowflake

is a plus Domain expertise in

logistics/supply chain or HR domain

Job Type: Permanent

Pay: ₹3,000,000.00 - ₹4,000,000.00 per year

Experience:

Databricks: 4 years (Required) Total: 10 years (Required) ADF: 3 years (Required) Pyspark: 2 years (Required) Python: 2 years (Required) Data Modelling: 3 years (Required) Snowflake tools : 3 years (Required) Logistics or HR domain: 2 years (Required)
Work Location: In person