Senior Technical Lead

Job Summary

Data Engineering, AWS

Data Engineers who can build scalable, reliable data pipelines and infrastructure, requiring mastery in SQL, Python/Scala, cloud platforms (AWS), and big data technologies (Spark, Kafka, Hadoop).

Key skills include data modeling, ETL/ELT pipeline construction, data warehousing and orchestration tools like Airflow. Strong problem-solving, collaboration, and data governance skills are crucial. Collect, process, and analyze large datasets to extract meaningful insights.
Design and conduct experiments to test hypotheses and validate data-driven solutions.
Collaborate with cross-functional teams to identify data needs and align strategies with organizational goals.
Create templates, dashboards and visualizations to communicate findings effectively to stakeholders.
Ensure data integrity and accuracy through cleaning, preprocessing, and validation techniques.
Optimize data collection and storage processes for efficiency and scalability.  Knowledge on Manufacturing process is preferred.

Key Responsibilities

1. To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.
2. To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure successful delivery of complex projects.
3. To ensure process compliance in the assigned module| and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
4. To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations.

Skill Requirements

null

Other Requirements

null