Technical Lead

Overview :

Join a rapidly growing team building world-class, large-scale Big Data architectures. This is a hands-on coding role focused on developing and optimizing data solutions using modern cloud and distributed computing technologies.

Key Responsibilities :

Development & Engineering

Write high-quality, scalable code using

Python ,

Scala , or similar languages.

Work with

SQL ,

PySpark ,

Databricks , and

Azure

cloud environments.

Optimize Spark performance and ensure efficient data processing pipelines.

Apply sound programming principles including

version control ,

unit testing , and

deployment automation .

Design and implement

APIs ,

abstractions , and

integration patterns

for distributed systems.

Define and implement

ETL ,

data transformation , and

automation workflows

in parallel processing environments.

Client Interaction

Collaborate directly with

Fortune 500 clients

to understand strategic data requirements.

Align project deliverables with client goals and Sigmoid’s strategic initiatives.

Innovation & Continuous Learning

Stay current with emerging Big Data and cloud technologies to maximize ROI.

Explore and productize new tools and techniques for large-scale data engineering.

Culture & Mindset

Demonstrate strategic and out-of-the-box thinking.

Be

analytical ,

data-driven , and

entrepreneurial

in approach.

Thrive in a

fast-paced, agile, start-up

environment.

Balance leadership with hands-on contribution.

Qualifications

Bachelor’s or higher

in Computer Science or related technical field.

Experience : 8 to 14 Years

Proven experience in

Big Data ,

application development , and

data management .

Strong skills in

Python ,

PySpark

(functional and OOP).

Effective

written and verbal communication

skills.