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Intern-Big Data

Intern-Big Data

ConfidentialPune
30+ days ago
Job description

Role Summary :

We are seeking a skilled Data Engineer to join our dynamic team. In this role, you'll play a critical part in developing and maintaining Big Data platforms (Data Lake, Data Warehouse, and Data Integration) and advanced analytics solutions. You'll collaborate with application architects, business SMEs, and cross-functional teams to design scalable data pipelines and support innovative data-driven projects.

Key Responsibilities :

  • Platform Development : Design, develop, and maintain Big Data platforms including Data Lakes, Data Warehouses, and advanced analytics infrastructures.
  • Big Data Architecture : Apply hands-on expertise in data architecture, focusing on Data Warehouse Appliances, Open Data Lakes (AWS EMR, HortonWorks), and Data Lake Technologies (AWS S3, Databricks).
  • Data Engineering : Develop and manage Spark ETL frameworks, orchestrate data pipelines using Airflow, and support Presto / Trino query development for stakeholders.
  • Machine Learning Pipelines : Design, scale, and deploy ML pipelines for advanced analytics use cases.
  • Collaboration : Work closely with application architects, data scientists, and business leaders to deliver end-to-end data solutions.
  • Mentorship : Lead code and design reviews, promote technical excellence, and mentor junior engineers.
  • Continuous Improvement : Identify opportunities to enhance system performance, scalability, and reliability.

Qualifications & Skills :

  • Educational Background : Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or related fields.
  • Technical Proficiency :
  • Expertise in Big Data frameworks : Spark, Hadoop, Hive, Kafka, EMR
  • Strong knowledge of cloud-based Big Data solutions (AWS, GCP, Azure)
  • Advanced skills in data processing, orchestration (Airflow), and query optimization (Presto / Trino)
  • Proficiency in programming languages : Python, Java, Scala
  • Experience with data warehouses, data lakes, and ML platforms (Spark ML, H2O, KNIME)
  • Understanding of DevOps practices, CI / CD pipelines, and Agile methodologies
  • Preferred Skills :
  • Experience with containerization and microservices architecture using Docker and Kubernetes
  • Familiarity with Data Science tools and frameworks
  • Strong problem-solving mindset with a passion for continuous learning
  • Personal Attributes :

  • Passionate about Big Data and analytics
  • Strong analytical and critical thinking skills
  • Self-starter with the ability to work independently and in teams
  • Excellent communication and interpersonal skills for cross-functional collaboration
  • Skills Required

    Big Data, Azure, Aws

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