Data Engineer

Job Title:Data Engineer (Remote) Job Type:Full-Time About the Role: We are looking for a highly motivated and detail-orientedData Engineerto join our remote team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support real-time and batch data processing. You will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to deliver reliable, high-quality data systems that power analytics, insights, and data-driven decision-making. If you enjoy working with big data technologies, solving complex data problems, and building systems that scale, this opportunity is perfect for you.Key Responsibilities: Design, develop, and maintain robust data pipelines and ETL workflows Build and manage scalable data architectures and cloud-based infrastructure Ensure data accuracy, completeness, consistency, and governance Collaborate with analytics and engineering teams to understand data needs Optimize performance of data systems, queries, and storage solutions Implement data quality monitoring and alerting systems Create and maintain comprehensive documentation for data workflows and schemas Stay up-to-date with the latest trends in data engineering and cloud technologies Requirements: Proven experience as a Data Engineer or in a similar data infrastructure role Strong programming skills in languages such asPython ,Java , orScala Proficient inSQLand experienced withrelational (PostgreSQL, MySQL)andNoSQL (MongoDB, Cassandra)databases Experience with data processing frameworks likeApache Spark,Hadoop ,Kafka , orFlink Hands-on experience with cloud platforms such asAWS ,Google Cloud Platform , orAzure Familiarity with modern data warehousing tools (e.g.,Snowflake ,Redshift ,BigQuery ) Experience with orchestration tools likeAirflow ,Luigi , orPrefect Understanding of data security, privacy, and compliance practices (e.g., GDPR, HIPAA) Strong problem-solving skills and attention to detail Bachelor’s degree in Computer Science, Engineering, or a related field Preferred Qualifications: Experience with CI/CD pipelines and version control (Git) Exposure to machine learning pipelines and model deployment Advanced certifications in cloud or big data platforms What We Offer:Exposure to high-impact projects and scalable data systems Collaborative and innovation-driven work environment Opportunities for continuous learning and career growth Supportive, diverse, and globally distributed team

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