Data Integration Engineer

• Design and implement data processing systems using distributed frameworks like Hadoop, Spark, Snowflake, Airflow, or other similar technologies. This involves writing efficient and scalable code to process, transform, and clean large volumes of structured and unstructured data.
• Build data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms.
• Integrate and transform data to ensure its compatibility with the target data model or format
• Design and optimize data storage architectures, including data lakes, data warehouses, or distributed file systems.
• Implement techniques like partitioning, compression, or indexing to optimize data storage and retrieval. Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency.
• Design and implement data models that support efficient data storage, retrieval, and analysis.
• Collaborate with data scientists and analysts to understand their requirements and provide them with well-structured and optimized data for analysis and modeling purposes.
• Utilize frameworks like Hadoop or Spark to perform distributed computing tasks, such as parallel processing, distributed data processing, or machine learning algorithms
• Implement security measures to protect sensitive data and ensure compliance with data privacy regulations.
• Establish data governance practices to maintain data integrity, quality, and consistency.
• Identify and resolve issues related to data processing, storage, or infrastructure.
• Monitor system performance, identify anomalies, and conduct root cause analysis to ensure smooth and uninterrupted data operations.
• Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions.
• Communicate complex technical concepts to non-technical stakeholders clearly and concisely.
• Stay updated with emerging technologies, tools, and techniques in the field of big data engineering.
• Explore and recommend new technologies to enhance data processing, storage, and analysis capabilities.
• Train and mentor junior data engineers, providing guidance and knowledge transfer.

Requirements:

• A bachelor's or master's degree in Computer Science, Information Systems, or a related field is typically required.
• Work commercial experience as a Data Engineer or a similar role.
• Proficiency in programming languages such as Python, R, or Scala is essential.
• In-depth knowledge and experience with distributed systems and technologies, including Apache Hadoop, Spark, Hive or similar frameworks.
• Familiarity with cloud-based platforms like AWS, Azure, or Google Cloud is highly desirable.
• Solid understanding of data processing techniques such as batch processing, real-time streaming, and data integration.
• Proficiency in working with relational and non-relational databases such as MSSQL, MySQL, PostgreSQL, or Cassandra.
• Knowledge of data warehousing concepts and technologies like Redshift, Snowflake, or BigQuery is beneficial.

Offer:

• Stable employment. On the market since 2008, 1400+ 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.
• Unlimited access to the Udemy learning platform from day 1.
• 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.
• Great Place to Work Certified Employer in the Philippines