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, Cosmos DB, Mongo db, Eventhub, Servicebus, Topic, blob storages, data lakes, azure functions, AKS, redis cache, keyvault, Iothub, webjobs

• Experience with data transformation and manipulation using Azure Databricks or similar tools

• Experience with streaming data platforms – Kafka

• Experience in dockers, Kubernetes, Microservices

• Solid scripting experience with Python, PowerShell, Pyspark, R, Scala

• 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

• Go language expertise is add-on

• IIOT domain expertise is add-on