Data Architect

4 weeks ago

Any Location, India Blueridge Global Full time

We are seeking a seasoned Data Engineer to drive the development of a cutting-edge data platform at Blueridge Global. This exciting opportunity involves leveraging distributed computing frameworks like Apache Spark, Databricks, and Snowflake to create a highly scalable, fault-tolerant data platform optimized for large-scale data processing and near real-time supply chain planning.

Key Responsibilities:

  • Design and implement a distributed data platform using cloud-based platforms like AWS EMR, Azure HDInsight, or equivalent.
  • Develop and deploy data pipelines and ETL/ELT processes using distributed computing frameworks to efficiently ingest, transform, and load massive datasets from various sources.
  • Collaborate with data scientists, machine learning engineers, and software developers to understand data requirements and build solutions to power GenAI applications.
  • Optimize distributed computing jobs and queries for maximum performance and cost efficiency.
  • Implement data governance, security, and compliance best practices.
  • Provide guidance on distributed computing architecture and mentor junior data engineers.

Qualifications:

  • 5+ years of experience as a Data Engineer working with big data technologies.
  • Strong proficiency in SQL, Python programming, and data modeling techniques.
  • Deep expertise in distributed computing principles and frameworks, including SQL, streaming, and optimizing jobs for scale and efficiency.
  • Hands-on experience with developing and deploying distributed computing applications using cloud-based platforms.
  • Strong understanding of cloud data platform architectures and best practices for ELT/ETL, data sharing, and query optimization.
  • Experience enabling application engineers to build applications leveraging the data platform through APIs and abstractions.
  • Experience with orchestration frameworks like Apache Airflow and data streaming technologies like Kafka.
  • Experience building and optimizing data pipelines for machine learning applications.
  • Knowledge of data modelling, data warehousing, and schema design.
  • Familiarity with public cloud platforms such as AWS, Azure, or GCP.
  • Excellent problem-solving and communication skills.

Bachelor's or Master's degree in Computer Science (Preferred), Engineering, or a related field.

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