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Sr. Databricks Engineer

3 months ago

Tiruppur, India Sequantix Full time

Responsibilities: 

  • Design and implement highly available and scalable Azure cloud data solutions that meet business requirements. 
  • Collaborate with cross-functional teams to design and implement solutions that meet business requirements. 
  • Participates in the testing process through test review and analysis. 
  • Developing and maintaining data lake and data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics. 

Education  

  • Bachelor’s degree in Computer Science, Applied Mathematics, Data Science, or Machine Learning. 

Required Qualifications: 

  • 5+ years of experience as an Azure data engineer 
  • Strong experience with Azure cloud technologies say- Azure Data Factory, Azure Data Bricks, delta tables, Cosmos DB, Mongo db, Eventhub, Servicebus, Topic, blob storages, data lakes, azure functions, AKS, redis cache, keyvault, 
  • Experience with data transformation and manipulation using Azure Databricks or similar tools 
  • Solid scripting experience with Python, PowerShell, Pyspark, R, Scala 
  • Experience with streaming data platforms – Kafka 
  • Experience in dockers, Kubernetes, Microservices 
  • Good working knowledge with Azure Infrastructure, security, token management, service principals, managed identity, authentication, authorization management 
  • Experience on data integrations with API's. 
  • Experience working in an Agile development environment 
  • Familiar with a variety of the field’s concepts, practices, and procedures and a strong focus on data integrity. 
  • Demonstrates strong written and oral communications skills. Ability, desire, and focus to meet deadlines Demonstrates ability to work with all levels of individuals. 
  • Demonstrates organizational skills while working on multiple projects; and communicate effectively within the team. 
  • Working knowledge of CI/CD tools and concepts - Azure Pipelines, Github actions &Workflow,  
  • Architect data ingestion solutions such as ETL, ELT’s on a wide set of data storage solutions. 
  • Flexible to learn on new programming languages/technologies based on project needs 
  • Flexible to learn & work with other cloud platform aws, google 
  • Independent and able to manage and prioritize workload. 
  • Ability to guide or lead junior resources to get desired project results. 
  • Advanced troubleshooting skills to drive to root cause 
  • Ability to adapt quickly and positively to change. 
  • Ability to manage ambiguity and solve undefined problems 

 

 

Nice to Have: 

  • Good knowledge of Timeseries databases (eg; InfluxDB, TimescaleDB) 
  • Observability expertise with Dynatrace is add-on