TALENT | Jobs | Data Engineering Lead – Python | Delta Air Lines | BigDataKB.com | 31-01-22

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Job Location: Bengaluru

Key Responsibilities

  • Data is critical to the success of any Data Driven Organization, and at Delta Air Lines, it is the lifeblood that drives value by providing the information to make strategic business decisions and process improvements.
  • The Data Engineer Lead will play a leading role on the Enterprise Data Services team, responsible for transforming data from disparate systems to provide insights and analytics for business stakeholders.
  • You will leverage cloud-based infrastructure to implement technology solutions that are scalable, resilient, and efficient.
  • Collaborate with Data Engineers, Data Analysts, DBAs, cross-functional teams, and business leaders
  • Architect, design, implement and operate data engineering solutions, using Agile methodology, that empower users to make informed business decisions
  • Provide technical guidance and mentoring to the team
  • Partner with Data Engineers and business partners to provide for data ingestion and optimization of the data analytical environments
  • Continuously integrate and load code into Deltas on premise and cloud Production environments
  • Optimizing solutions for performance and scalability
  • Ensure that the Delta methodology, standards and procedures are adopted and implemented
  • Ensure that the technical solutions meet the customers’ business goals and that customer satisfaction with the project and conclusion is high
  • Act as a Point of contact for technical issues, creating documentation, monitoring service levels.
  • Coordinate activities with internal/external technology owners/service providers.
  • Consult within project team and other Delta teams, with outside vendors or consultants to ensure project or product integrity
  • Data Engineering Leader will also be responsible for managing and coaching assigned direct reports
  • BS/MS Computer Science degree or equivalent
  • Embraces Diverse people, thinking and styles.
  • Consistently makes safety and security, of self and others, the priority.
  • 8+ years of experience in designing, developing, testing, integrating and running business, big data and/or data engineering/analytics applications
  • Experience with High Volume Data Ingestion Mechanisms, Data Analytics Stores, Data Warehousing, Data Quality Management and Data Lifecycle Management, data modelling of structured and unstructured entities, RDBMS and NoSQL design, data architecting, analytical environments, including AWS, Teradata, Multi-Tenant Data Architectures, Data Security and isolation Mechanisms with Fine-grained Access Control.
  • Knowledge of RDBMS Database Design such as MySQL, Teradata, Oracle, SQL Server, NOSQL Database Design such as HBase, Mongo DB, Cassandra etc..
  • Experience with Data models involving Sharding, Distributed Database Design, In-Memory Caching Models
  • Experience with Database performance engineering, SQL query tuning for PostgreSQL, Teradata, Oracle, NoSQL databases
  • Experience with Linux and Windows System Administration, Kernel Tuning, Registry configuration and holistic systems analysis
  • Experience in Cloud/Virtualization Technologies
  • Experience in designing data models for cloud-based solutions from leading cloud providers such as AWS, Azure, etc.
  • Experience with data modelling and design tools
  • Proficient with Python
  • Experience leading quality engineering effort for Agile & DevOps projects
  • Knowledge of data engineering and experience with big data
  • Linux and shell scripting expertise
  • Experience with VersionOne, GIT(gitlab, Bitbucket or other)
  • Experience using Agile/Scrum/Kanban methodologies
  • Candidate must also have excellent written and verbal skills with the ability to communicate effectively with all levels of employees and management
  • Additionally, candidate must be a self-learner with the ability to pick up new technologies and provide tangible results
  • Strong problem-solving skills and capability to understand and set direction for complex technology integration
  • Understanding and focus on business outcomes
  • Strong leadership skills

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