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Data Engineering

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Lingaro

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Location:
Philippines

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Responsibility:

  • Design and implement data processing systems using distributed frameworks like Hadoop, Spark, Snowflake, Airflow, or other similar technologies
  • 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
  • Identify and resolve 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 ensuring compliance with data privacy regulations
  • Establish data governance practices to maintain data integrity, quality, and consistency
  • Monitor system performance, identifying anomalies, and conducting root cause analysis to ensure smooth and uninterrupted data operations
  • Communicating complex technical concepts to non-technical stakeholders in a clear and concise manner
  • Stay updated with emerging technologies, tools, and techniques in the field of big data engineering

Requirements:

  • Strong analytical thinking and problem-solving skills
  • Strong communication skillset – ability to translate technical details to business/non-technical stakeholders
  • Extensive experience in designing and building data pipelines (ELT/ETL) for large-scale datasets
  • Proficiency in programming languages such as Python, R or Scala
  • In-depth knowledge and experience with distributed systems and technologies, including On-prem Platforms, Apache Hadoop, Spark, Hive or similar frameworks
  • Solid understanding of data processing techniques such as batch processing, real-time streaming, and data integration
  • Experience with Azure Data Services - Databricks and Data Factory
  • Experience with Git repository maintenance and DevOps concepts
  • Familiarity with building, testing, and deploying process
  • Additional certifications in big data technologies or cloud platforms are advantageous

Nice to have:

  • Familiarity with tools like Databricks, Apache Nifi, Apache Airflow, or Informatica is advantageous
  • Familiarity with cloud-based platforms like AWS, Azure, or Google Cloud is highly desirable
  • Experience with data analytics tools and frameworks like Apache Kafka, Apache Flink, or Apache Storm is a plus
What we offer:
  • Stable employment
  • “Office as an option” model
  • 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
  • Upskilling support
  • Internal Gallup Certified Strengths Coach to support your growth
  • Grow as we grow as a company
  • A diverse, inclusive, and values-driven community
  • Autonomy to choose the way you work
  • Create our community together
  • Activities to support your well-being and health
  • Plenty of opportunities to donate to charities and support the environment

Additional Information:

Job Posted:
January 05, 2026

Work Type:
Remote work
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