Remote Senior Data Engineer - (Remote)

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Description:

  • Jobgether is seeking a Senior Data Engineer to work remotely in India, Thailand, Malaysia, Indonesia, or the Philippines.
  • The role involves designing, building, and maintaining scalable data pipelines and cloud-based platforms to support data-driven decision-making across the organization.
  • The Senior Data Engineer will collaborate with cross-functional teams to bridge the gap between business needs and technical execution, ensuring high-quality data solutions.
  • Key responsibilities include designing and implementing scalable ETL/ELT data pipelines, developing and maintaining data models, and architecting cloud-based data platforms.
  • The engineer will work with data analysts and business stakeholders to understand data requirements and deliver reliable data solutions.
  • Ensuring data quality, consistency, and security through robust monitoring and validation frameworks is essential.
  • Staying updated with the latest industry trends and emerging technologies to improve data engineering practices is also a key aspect of the role.

Requirements:

  • Candidates must have 5+ years of experience in data engineering or a related field.
  • Expertise in relational databases such as PostgreSQL and MySQL, as well as NoSQL databases like MongoDB and Cassandra, is required.
  • Proficiency with big data frameworks such as Hadoop, Spark, Airflow, and BigQuery is necessary.
  • Strong knowledge of programming languages including Python, NodeJS, and SQL is essential.
  • Advanced experience with cloud platforms like AWS and GCP, along with associated data services, is required.
  • Experience with data warehousing tools such as BigQuery, Snowflake, or Redshift is necessary.
  • Familiarity with BI tools like Tableau and LookerStudio, as well as version control systems like Git, is expected.
  • Excellent problem-solving and communication skills are required.
  • Preferred qualifications include experience with real-time data streaming technologies such as Kafka and Kinesis, and machine learning pipelines.

Benefits:

  • The position offers flexible work arrangements, including remote options.
  • A competitive salary is provided along with generous paid time off.
  • Employees can participate in an employee share ownership plan.
  • Flexi benefits are available for home office equipment or health and fitness.
  • Opportunities for professional growth and learning are encouraged.
  • Employees will be part of a B Corp certified company committed to social and environmental impact.
  • There is an annual opportunity to work remotely from anywhere in the world for one month.
  • Employees can contribute to a fast-growing company with a mission-driven culture.
Apply now
Please, let Jobgether know you found this job on RemoteYeah . This helps us grow 🌱.
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