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Principal Data Engineer - Pune - Amadeus - 5 Location: IN-Pune Jobcode: indigojobs_655089 Email Job
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Job Description - This position is expected to lead a data engineering team in a large data, fast-paced environment
- The technology stack will be a broad spectrum of data platforms, tools, and orchestrators both in the cloud as well as in an on-premise data center
- This role defines, develops, drives, and maintains data/ETL architecture with respect to customer requirements and the company s objectives
- Proficient in technical knowledge to ensure the team performs at a high level
- Is recognized as a leader in their own area and may formally train Specialists/Senior Specialists
- The ability to form and lead special teams is required
- This candidate must have good communication skills and also have a desire to frequently work with others
- This position will also be expected to keep up with current technologies and methods
- Feedback is expected if better methods or technologies could improve our processes
- As a leader, the candidate will be responsible for designing and building programs to process data as well as executing a certain level of delegation
- Understand how main business drivers may impact on own area
- Can assess complex problems with a broad impact on the activity, improve processes, and recommend solutions and risk mitigation plans
- Able to communicate complex information
- Must be able to research and decipher any format of data provided via ingestion
- As an expert and leader, this role will need to know how data will be used and assist application developers with retrieving data from our database platforms accurately and efficiently
- This role will need to manage any data processes and respond to any issues in the processes
- Attention to resource utilization (space, CPU, memory, network) will be expected
- This role will need to effectively communicate with team members, other teams, other business units, and leadership
- Works with a high level of autonomy, based on management directions
- Leads projects or contributes to broad cross-functional projects
- May contribute to the planning of resources and budget
- Skills required are Big Data Management, SQL development, Database development, Python Development, ETL development, Oracle, JSON, Unix scripting, MDM, Windows, Outlook, PowerPoint, Excel, and word
- Additional desired skills, MySQL, Kubernetes, DRUID, Airflow, Databricks, Spark, Couchbase, other NOSQL DB platforms, Stambia, Azure, Agile
Technical requirements: - Cloud Experience (Azure preferred)
- Experience migrating data to cloud data platforms
- Experience with big data platforms in a cloud environment (Databricks Preferred)
- Experience with UNIX
- Event streaming and queuing familiarity (such as Kafka, Event Hub, or similar)
- Python Coding for ETL and orchestration with emphasis on data
- Experience with orchestration tools such as Airflow, Azure Data Factory, and/or Synapse Pipelines
- Experience with a relational database such as Oracle/MySQL/Postgres/SQL Server
- Experience with complex SQL coding and tuning
- Problem identification, Solutioning, Tracking, and Communication
Position/Role Requirements - Must be able to lead a data engineering team and coordinate development efforts
- Manages team resources, delegation, user story assignment, and backlog
- Weekly report updates on user story burndown
- Works with minimal supervision, manages own time effectively and maintains control over all current projects/responsibilities. Follows up on all relevant issues.
- Ability to work effectively with and coordinate resources across multiple time zones
- Good communication skills via teams, email, and conference calls
- Ability to translate business and/or functional requirements to technical requirements
- Confidence to provide solutions and make decisions independent of direct supervision
- Ability to see the bigger picture while still being able to provide technical guidance and code reviews
Key Accountabilities: - Perform database integrity checks and updates
- Create and maintain operational procedures
- Ensure that external service providers carry out operational procedures according to SLAs
- Write and update the database checklist and documentation
- Analyze customer systems and identify/execute actions necessary to activate existing Amadeus products
- Provide functional support to customers and ensure problem resolution for functionality, procedural, fallback, implementation, or general service issues
- Coordinate intervention from other groups (Product Management, Product Definition, Help Desk, Operations Erding, and Development ) when issues addressed are beyond the scope of team competencies
- Update and prepare database correction requests
- Monitor end-user satisfaction by collecting feedback on performance and problems
Job ClassificationIndustry: IT Services & ConsultingFunctional Area: IT Services & ConsultingRole Category: Data Science & Machine Learning Role: Data EngineerEmployement Type: Full timeContact Details:Company: AmadeusLocation(s): Pune
Amadeus
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