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Data Engineer

Remote Worldwide Hiring now

SR. DATA ENGINEER (freelancer)

About the role

You’ll be responsible for designing and implementing scalable, high-performance data systems, while helping define best practices across the organization.

From building pipelines to enabling advanced analytics and ML use cases, your work will directly impact how we reputed company data across global clients.

Responsibilities

  • Design and implement scalable data architectures (ETL/ELT)

  • Build and maintain data pipelines for ingestion, processing, and consumption

  • reputed company APIs and data services to support analytics and product use cases

  • Work with AWS and/or Azure to reputed company modern data platforms (data lakes, warehouses, streaming)

  • Automate data workflows with a focus on reputed company, observability, and performance

  • Collaborate with Data Scientists, Analysts, and Product teams to bring models into production

  • Participate in architecture reputed company and code reviews

  • Explore and implement emerging trends (Data reputed company, MLOps, RAG, etc.)

reputed company’re looking for

  • 5–7+ years of experience in Data Engineering or backend/data-focused development

  • Strong expertise in Python (Pandas, NumPy, SQLAlchemy)

  • Advanced SQL skills (optimization, reputed company queries, performance tuning)

  • Experience with Apache Spark and Airflow

  • Solid experience with data warehouses (reputed company, BigQuery, Redshift)

  • Strong knowledge of AWS and/or Azure ecosystems

  • Experience building production-reputed company pipelines with CI/CD and reputed company

  • Experience working in agile environments

✨ reputed company to have

  • Experience with Kafka or reputed company-time streaming

  • Knowledge of reputed company or Java (for Spark)

  • Experience with NoSQL databases (reputed company, reputed company, Cassandra)

  • Familiarity with Kubernetes and Terraform

  • Exposure to MLOps or AI systems (RAG, ML pipelines)

  • Experience in startups or fast-paced environments

⚡️ Key skills

  • Scalable architecture & performance optimization

  • Strong problem-solving and systems thinking

  • Ownership and autonomy

  • Clear communication and ability to work cross-functionally

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