Data Engineer

What You'll Be Doing:

• Designs, builds, and optimizes scalable data systems and pipelines using distributed frameworks (e.g., Hadoop, Spark) and cloud platforms like Azure. The role focuses on data modeling, storage architecture, and cross-functional collaboration to deliver high-quality data solutions for analytics and business intelligence.
• Develops and maintains data processing systems using distributed computing frameworks.
• Designs and optimizes data lakes, warehouses, and storage architectures for performance and scalability.
• Implements data models that support efficient storage, retrieval, and analysis.
• Builds robust data pipelines to ingest, transform, and integrate data from various sources (databases, APIs, streaming platforms).
• Collaborates with BI developers, analysts, and stakeholders to deliver technical solutions aligned with business needs.
• Communicates complex technical concepts clearly to non-technical stakeholders.
• Ensures data quality through validation, unit testing, and troubleshooting.
• Implements security measures and ensures compliance with data privacy regulations.
• Establishes data governance practices to maintain integrity and consistency.
• Supports Agile/Scrum development processes and project delivery timelines.
• Mentors junior data engineers and shares knowledge across teams.
• Explores emerging technologies and recommends improvements to data processing and analysis capabilities.
• Acts as a trusted advisor to customers and takes ownership of solution delivery.

What We're Looking For:

• Strong proficiency in SQL and Python.
• Experience in data modeling, validation, and performance tuning.
• Familiarity with Azure cloud platform and MSSQL.
• Knowledge of data warehousing tools (e.g., SSMS), delta lakes, and distributed file systems.
• Solid understanding of batch processing, data integration, and troubleshooting.
• Experience working with on-premise platforms, including virtual machines and physical servers.
• Excellent communication and problem-solving abilities.
• Experience with Hadoop, Spark, Hive, and Databricks (Spark SQL, PySpark).
• Background in ELT/ETL pipeline design for large-scale datasets.
• Familiarity with Synapse, Azure Data Factory, and data orchestration tools.
• Understanding of data governance, privacy regulations, and compliance standards.
• Certifications in big data technologies or Azure cloud platform.

Missing one or two of these qualifications? We still want to hear from you If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.

Offer

• Stable employment. On the market since 2008, 1200+ talents currently on board in 7 global sites.
• "Office as an option" model. You can choose to work remotely or in the office.
• Flexibility regarding working hours and your preferred form of contract.
• Comprehensive online onboarding program with a "Buddy" from day 1.
• Cooperation with top-tier engineers and experts.
• Certificate training programs. Lingarians earn 500+ technology certificates yearly.
• Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
• Grow as we grow as a company. 76% of our managers are internal promotions.
• A diverse, inclusive, and values-driven community.
• Autonomy to choose the way you work. We trust your ideas.
• Create our community together. Refer your friends to receive bonuses.
• Activities to support your well-being and health.
• Plenty of opportunities to donate to charities and support the environment.
• Modern office equipment. Purchased for you or available to borrow, depending on your location.
• Great Place to Work Certified Employer in the Philippines