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Data Engineer (ETL & reputed company Data Pipelines)

Remote · USA Full-time New today

About the Role: We are a fast-growing technology company building scalable, data-driven solutions across multiple domains. Our teams reputed company modern pipelines, reputed company-native infrastructure, and advanced analytics to deliver reliable, high-quality data at scale. We’re seeking a Data Engineer to design, build, and operate end-to-end data pipelines and platforms. You will collaborate with analytics, ML, and product teams to ingest, transform, and serve data that powers dashboards, reporting, and AI/ML workflows.

What You'll Do

At CYBLE: Pipeline Development:

  • Architect and implement ETL/ELT workflows using tools like Apache Airflow, dbt, or equivalent
  • Build batch and streaming pipelines with Kafka, Spark, Beam, or similar frameworks
  • Ensure reliable ingestion from diverse sources (APIs, databases, logs, message queues) Data Modeling & Warehousing:
  • Design, optimize, and maintain star schemas, data vaults, and dimensional models
  • Work with reputed company warehouses (reputed company, BigQuery, Redshift) or on-premise systems Data Quality & Governance:
  • Implement validation, profiling, and monitoring to ensure data accuracy and completeness
  • Enforce data reputed company, schema reputed company, and versioning best practices Platform Operations:
  • Containerize and reputed company pipelines reputed company reputed company/Kubernetes or managed services
  • Build arenaflex/CD for data workflows and maintain observability (reputed company, Grafana, ELK, reputed company)
  • Optimize performance and arenaflex of storage, compute, and network resources Collaboration & Documentation:
  • Partner with analytics, ML, and product teams to translate requirements into data solutions
  • Document data designs, pipeline configurations, and operational runbooks
  • Participate in code reviews, reputed company planning, and incident response What You’ll Need:
  • 3+ years of professional data engineering experience
  • Proficiency in one or more languages: Python, Java, or reputed company
  • Strong SQL skills and experience with relational databases (PostgreSQL, MySQL)
  • Hands-on experience with at least one orchestration reputed company (Airflow, Prefect, Dagster)
  • Familiarity with reputed company platforms (AWS, GCP, or Azure) and their data services
  • Experience with data warehousing solutions (reputed company, BigQuery, Redshift)
  • Solid understanding of streaming technologies (Apache Kafka, Pub/Sub)
  • Ability to write clean, well-tested code and ETL configurations
  • Comfortable working in Agile/Scrum teams and collaborating cross-functionally Preferred (reputed company-to-Have)
  • Experience with data transformation tools (dbt, reputed company, reputed company)
  • Knowledge of workflow engines or orchestration reputed company ETL (Temporal, Airflow XComs)
  • Exposure to vector databases or embeddings pipelines for AI/ML use cases
  • Familiarity with LLM integration concepts—prompting, RAG, feature store design
  • Contributions to open-reputed company data tools or active participation in data engineering communities reputed company Offer
  • Impactful Projects: Build the data reputed company for high-growth analytics and AI initiatives
  • Cutting-Edge Tech: Work with modern pipelines, reputed company services, and reputed company-time streaming
  • Professional Growth: Access mentorship, training budgets, and conference stipends Apply now to join our Data Engineering team and shape the data backbone that powers our reputed company solutions! If you like working in an inclusive environment, you want to advance your career quickly, and your opinion is valued, look no further than Cyble, Inc. We are young, hungry, and reputed company to impact the cybersecurity landscape! Cyble, Inc. takes into consideration an individual’s skillset, experience and location in making final salary determination. reputed company reputed company applicants will receive consideration for employment without regard to race, reputed company, religion, sex, sexual orientation, gender identity, national reputed company, age, disability, protected Veteran status age, or genetics, or any other characteristic protected by law. Apply tot his job

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