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oracle

Data Engineer II

American Express
Gurugram, IND
Full-time
Mid · 4+ years experience
Hybrid
Discovered 4 days ago
bigquerygcphivejavapythonsql

Full Job Posting

Qualifications

  • Education Qualifications:
  • Bachelor’s degree in Computer Science, Computer Engineering, and/or comparable experience; advanced degree preferred
  • Knowledge of Big Data / NoSQL design and development with variety of data stores.
  • Knowledge of database management system products and ecosystem – e.g., storage formats, access algorithms, data management processes, administration, data maintenance, replication, high availability, encryption, etc.
  • Knowledge of distributed (multi-tiered) systems, algorithms, and relational & non-relational database
  • Work Experience:
  • Data engineering and 4+ years of experience in development.
  • Have good experience in performance tuning of large data processing in both batch and real-time.
  • Experience in SQL and Python (or any other programming language like Java)
  • Experience in design and development across one or more database management systems (e.g., HBase, Hive, GCP tools, NoSQL, BigTable, BigQuery, Cloud Spanner) as appropriate.
  • Experience in NoSQL databases (e.g., Hbase, BigTable)
  • Experience in performance tuning in the Big Data space
  • Experience in distributed (multi-tiered) systems, algorithms, and application development
  • Experience in database development and support of online transaction processing and/or online analytical processing systems
  • Experience in software delivery methodology (Agile, Scrum, Agile XP, Test-Driven Development etc.)
  • GCP Certificate will be good add-on.

Responsibilities

  • Evaluates data requirements and stories, documents them for seamless integration into existing architectures, and maintains data models to support business needs
  • Builds and enhances data pipelines and database designs to meet performance, scalability, and security requirements
  • Should have good hands on with GCP technologies like: BigQuery, DataProc and other services of GCP.
  • Have good working knowledge of SQL and data evaluation tools.
  • Collaborates in design reviews and testing, and provides production environment support with guidance from peers and leaders
  • Completes work reviews and fosters a collaborative learning environment with guidance from peers and leaders
  • Communicates and collaborates with business and product teams to facilitate changes and implementation
  • Completes Big Data/Spark and Other distributed frameworks requirements by implementing basic partitioning and indexing solutions
  • Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives

Preferred Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, and/or comparable experience; advanced degree preferred

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