Job Description
Our client is a leader in developing innovative incentive recognition and loyalty solutions that drive business success. With a strong focus on leveraging cuttingedge data solutions they empower organizations to unlock insights enhance engagement and maximize performance. As a forwardthinking company they thrive on innovation collaboration and excellence.
Are you ready to lead a team that transforms data into actionable insights Do you thrive in a fastpaced collaborative environment where data quality scalability and innovation are top priorities
As a Data Engineering Technical Lead you will play a crucial role in architecting developing and optimizing data solutions that drive business intelligence. You will lead a team of data and machine learning engineers to create scalable highperformance data architectures while ensuring data integrity security and governance.
This role offers the opportunity to work on impactful projects leverage cuttingedge technologies and engage directly with clients to tailor data solutions to their needs. If you have a passion for big data automation and leadership this is the role for you!
Key Responsibilities:
- Lead and mentor a team of data and machine learning engineers fostering a culture of innovation and excellence.
- Design implement and optimize scalable data architectures and ETL processes.
- Develop and maintain highquality reliable data pipelines to ensure seamless data flow.
- Ensure data integrity security and governance by implementing best practices and compliance frameworks.
- Evaluate select and integrate innovative data engineering tools and technologies.
- Collaborate with clients and internal teams to develop datadriven strategies that align with business needs.
- Optimize performance scalability and costeffectiveness of data infrastructures.
- Monitor troubleshoot and refine data processes ensuring high availability and efficiency.
- Enhance automation and build largescale data solutions to support business intelligence and analytics.
- Act as a bridge between raw data and actionable insights to support decisionmaking.
- Ensure rigorous documentation of data processes ensuring clear understanding across teams.
Required Qualifications & Experience:
MustHaves:
- 6 years experience in data engineering analytics and big data solutions.
- 2 years experience leading teams in a datadriven environment.
- Strong proficiency in Python SQL Java and other data engineering languages.
- Expertise in ETL development data modeling and data warehousing.
- Handson experience with cloud platforms (AWS Azure or GCP) and big data technologies (Hadoop Spark).
- Strong knowledge of streaming data platforms such as Apache Kafka or AWS Kinesis.
- Experience with containerization and deployment tools (Docker Kubernetes).
- Knowledge of data visualization tools (Tableau Power BI).
- Strong analytical critical thinking and problemsolving skills.
- Excellent communication and leadership abilities.