Data Engineer

Who Are We?

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.

Job Opportunities

Job Title: Data Engineer

Department: Engineering

Working Arrangement: On-site

Information About The Role

Data engineer roles are to collect data, work on data architecture and infrastructure, conduct research, and automate tasks. They use a systematic approach to plan, create, and maintain data architectures while also keeping it aligned with business requirements.

Key Responsibility

• Ensure data consistency in our DATA Warehouse
• Create and maintain optimal data pipeline architecture
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies.
• Work with stakeholders including the Product, Data and Commercial teams to assist with data-related technical issues and support their data infrastructure needs.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Oversee the integration of data from various sources, ensuring accessibility, cleanliness, and usability for analytics and decision-making.
• Design and maintain optimized data models to support reporting, analytics, and machine learning initiatives.
• Continuously monitor and enhance the performance of data processing systems for low latency and high throughput.

Requirements
:

• Bachelor degree or equivalent with 2-3 years of experience in data engineering with a proven track record of designing and implementing large-scale data pipelines and data lakes.
• 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.

Why You'll Love Working Here?

• 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.
• 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, 
leap and help us shape the future of loyalty and rewards