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.
• 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 Sigmoids 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

• Bachelors 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.