ABOUT US:
SkilldLabs is a product built from the challenges of our past. Hiring quality talent, working together in the same time-zone, and building cutting edge products at warp speed. We help startups overcome today’s hiring challenges. Today, we have grown into a leading staff augmentation provider of highly skilled teams of nearshore experts.
Lead Data Engineer
We are seeking a highly skilled and experienced Lead Data Engineer to join our team and play a pivotal role in shaping our data ecosystem. In this role, you will design, build, and maintain scalable data solutions, ensuring data integrity, security, and accessibility. As a key collaborator with business and technical teams, you will drive data-driven insights, optimize infrastructure, and support strategic decision-making. If you are passionate about data engineering, innovation, and delivering business value, we’d love to hear from you!
Responsibilities
- Implement data processes for the Data Warehouse and internal systems – Manage and update Data Engineering architecture
- Implement processes for data accuracy and reconciliation
- Design and implement ETL processes
- Make data available through reporting platforms
- Analyze data and communicate insights to stakeholders
- Implement and integrate monitoring tools to closely track and manage various aspects of the data architecture, including storage, ETL processes, compute resources, and associated costs, ensuring optimal performance and efficiency.
- Collaborate closely with the business team to develop and implement tools and mechanisms that deliver actionable business intelligence.
- Develop strategies to ensure data security and protect privacy.
- Develop, maintain, and continuously improve comprehensive documentation for data models and ETL processes.
Requirements and skills
- At least 7 years of work experience, with 2 years in a similar role – Experience in data architecture, data quality, metadata management, ETL, analytics, reporting, and database administration
- Computer Sciences / Computer Engineer Degree
- Strong computer science background and knowledge of software development methodologies
- Excellent knowledge of SQL
- Strong Programming experience in Python with PySpark required.
- Great English communication skills
- Diligent, rigorous, and collaborative
- Bonus: Experience in Project Management, Business Analysis, Consulting, Operations, Statistical analysis
- Required experience with AWS Redshift, APIs, Git, Linux, and AWS Glue, AWS DMS, AWS Athena
- Familiarly with data visualization platforms like (Quick Sight, Tableau, Power BI)
WHAT WE OFFER:
- Paid online learning
- Family Leave
- Computer Sponsor program
- Sponsored certifications
- Payment in USD