Lead Data Engineer
Engineering

Lead Data Engineer

FULL-TIME
Jakarta, Indonesia
Tada the Game-Changer in Loyalty and Retention!
 
Who We Are?
Tada is a B2B2C loyalty and rewards platform that helps businesses improve channel partner, customer, and employee retention, build loyalty, and drive growth. Founded in 2012, Tada offers unified solutions that create engaging and rewarding experiences.
As an Indonesian SaaS company with a global footprint, Tada has assisted 400+ local and international brands across various industries. Our game-changing loyalty solutions have also garnered numerous awards, solidifying our reputation as a leader in the sector.
Why You’ll Love Working Here?
● Sabbatical Program: Recharge with our 15-day sabbatical leave every three years, acknowledging that long-term work can be demanding.
● Growth Opportunities: We support your learning and development aspirations, both within and outside our organization, aiming to nurture an entrepreneurial spirit in our team.
● Unique Work Environment: Experience the unique blend of a mission-driven digital company with the innovative mindset of a start-up, enriched by our presence since 2012.
● Engagement Department: Get involved to refresh your mind with exciting activities outside the work to do.
● Laptop Ownership/Allowance: Choose between a company laptop or a laptop
● Celebrate With Us: We love to celebrate work anniversaries and birthdays
● Learning and lots of it. We promote vertical and lateral movement. It’s not uncommon for Tayo (that’s what we call our team) to move divisions two or three times throughout their career. We want people to learn new stuff that excites them. ● Sincere teamwork. This word isn’t officially in our values, but when I asked new joiners about what value they really feel at Tada that’s not stated on our wall, many mentioned that Tayo is really helpful and they can feel the ‘teamwork’ atmosphere
● Think and act like an owner is our value. But the truth is we don’t want you to act like an owner, we want you to be a real owner. So for our top performers, we’d love to lure you into our stock options program.
 
What We Do Not Promise:
● We do not promise fixed working hours. Sometimes, projects and deadlines may require additional hours or flexibility.
● We do not promise unlimited resources or budgets. We may have to operate with limited resources and manage priorities carefully.
● We do not promise a pressure-free environment. There are often high demands and significant expectations for growth and success.
 
If you’re ready for a challenge and eager to make a real impact and be the Leading Loyalty & Rewards Platform in the region Take the leap and help us shape the future of loyalty and rewards! 🚀🌟

Job Description:

Job Opportunities
Job Title: Lead Data Engineer
Department: Engineering
Working Arrangement: On-site
Information about the role:
The Lead Data Engineer will be responsible for developing and leading the data engineering efforts within our system and projects. This role will require a strong technical background combined with leadership skills to drive innovation and ensure the successful delivery of high-quality data solutions
Key Responsibility
Data Infrastructure Design and Management:
  • Lead the design, implementation, and management of scalable and efficient data pipelines, ETL processes, and data warehousing solutions.
Data Integration:
  • Oversee the integration of data from various sources, ensuring accessibility, cleanliness, and usability for analytics and decision-making.
Data Modeling:
  • Design and maintain optimized data models to support reporting, analytics, and machine learning initiatives.
Performance Optimization:
  • Continuously monitor and enhance the performance of data processing systems for low latency and high throughput.
Collaboration:
  • Work closely with data scientists and analysts to understand data needs and deliver solutions that drive data-driven decision-making.
Data Governance:
  • Implement and enforce data governance policies to ensure data quality, security, and compliance with regulations.
Team Leadership:
  • Mentor and lead a team of data engineers, fostering best practices and a culture of continuous improvement.
Innovation:
  • Stay updated on the latest trends and technologies in data engineering and introduce innovative improvements to the data systems.
Data Lake Planning and Implementation:
  • Plan and architect a scalable, high-performing, and cost-effective data lake to meet current and future data storage and processing needs.

Requirements:

  • 5+ years of experience in data engineering with a proven track record of designing and implementing large-scale data pipelines and data lakes.
  • Experience leading or mentoring a team of data engineers is preferred.
  • Strong proficiency in programming languages such as Python, Java, or Scala.
  • Expertise in data processing frameworks like Apache Spark, Apache Flink, or similar.
  • Experience with cloud data platforms such as AWS, Google Cloud, or Azure (e.g., Redshift, BigQuery, Snowflake).
  • Solid understanding of data lake architectures, including the design and management of data lakes using technologies like AWS Lake Formation, Azure Data Lake, or Google Cloud Storage.
  • Experience with data warehousing concepts and databases (e.g., SQL, NoSQL, columnar storage systems).
  • Familiarity with data modeling techniques and tools such as DBT, ER/Studio, or similar.
  • Experience with ETL tools such as Apache NiFi, Talend, or custom-built pipelines.
  • Strong problem-solving skills with the ability to handle large datasets.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.