Data Engineer Team Lead
Description For Data Engineer Team Lead
Amar Bank is seeking an experienced Data Engineer Team Lead to spearhead their data engineering initiatives and drive data-driven decision-making across the organization. This role combines technical leadership with strategic business partnership, requiring someone who can both lead a team of engineers and collaborate effectively with stakeholders.
The position demands a unique blend of technical expertise in data engineering and business acumen, with a focus on building and maintaining scalable data infrastructure using Google Cloud Platform. You'll be responsible for leading a team while ensuring robust data systems that support analytics, data science, and operational processes.
Key aspects of the role include designing data pipelines, implementing monitoring systems, and optimizing data storage strategies. You'll work closely with cross-functional teams to translate business requirements into technical solutions, while maintaining high standards for data accuracy and reliability.
The ideal candidate brings 5-8 years of data engineering experience, with at least 2 years in team management. Strong technical skills in Google Cloud services, data modeling, and programming languages like Python and SQL are essential. Knowledge of the banking sector is highly valued.
This role offers the opportunity to shape the data infrastructure of a forward-thinking financial institution, lead innovative projects, and drive data democratization initiatives. You'll play a crucial role in transforming how the organization leverages data for decision-making while mentoring the next generation of data engineers.
Responsibilities For Data Engineer Team Lead
- Lead and mentor a team of data engineers
- Design, build, and maintain scalable data pipelines and systems
- Implement data lineage and monitoring tools
- Optimize data storage and retrieval strategies
- Collaborate with business stakeholders for requirement gathering
- Manage end-to-end lifecycle of data engineering projects
- Establish and monitor KPIs
- Drive implementation of best practices in data architecture
- Enable automated data validation and monitoring
- Partner with business units for data democratization
Requirements For Data Engineer Team Lead
- Bachelor's degree in Computer Science, Information Technology, Data Science, or related field
- 5-8 years of experience in data engineering
- 2 years of team management experience
- Strong expertise in Google Cloud services
- Experience in data modeling, ETL/ELT processes
- Proficiency in SQL, Python
- Strong understanding of data governance and privacy standards
- Knowledge of banking or financial services industry
- Excellent communication skills
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