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Role Senior Azure Data Engineer
Required Technical Skill Set Databricks and Azure services
Desired Experience Range 5 Years
Location of Requirement Hyderabad, India
Contract and Onsite role
Resources who can join immediately.
Desired Competencies (Technical/Behavioral Competency)
Must-Have (Ideally should have more than 3 years
Python
SQL and NoSQL databases
Databricks/ PySpark (Structured streaming & batch)
Experience with Azure: ADLS, Databricks, EventHub, Event Grid, SQL DW, Azure Functions, Serverless Architecture,
Experience with Azure DevOps pipelines (CI/CD)
Terraform (must: theory, nice: practical experience)
Good knowledge of Git (branches, pull requests, fixing merge conflicts)
Good-to-Have
Experience with ARM Templates, Azure Data Factory
Knowledge on Kubernetes and Google Cloud Platform.
Machine learning and AI.
Responsibility of / Expectations from the Role
Ability to design solutions independently based on high-level architecture.
Implementation including loading from disparate data sets, preprocessing using Azure data bricks
Work with customers in gathering business requirements for data pipeline/lake/migration needs
Monitoring Azure DevOps, data bricks pipelines and participate support activities
Willing to learn Azure monitoring services and logging services
#azure #devops #databricks #arm #git #googlecloudplatform #kubernetes
Job ID: 151292057
Skills:
snowflake , Sql, ELT, Aws S3, Azure Data Factory, Csv, Json, Etl, Python, Azure Data Lake, Airflow, dbt, Dimensional modelling, Parquet, Matillion Data Productivity Cloud, Jinja, Medallion Architecture
Skills:
snowflake , Kafka, Azure Data Factory, PowerShell, Airflow, dbt
Skills:
S3, Web Application Server, Scala, Ide, Continuous Integration, Git, Hive, Spark, Agile, Databricks, Python, AWS, unit-testing tools, Java garbage collection, test-driven development, defect management tools
Skills:
Spark SQL, Pyspark, Data Warehousing, Kafka, Data Modeling, Sql, Git, Azure Data Factory, Databricks, Azure, Python, Azure DevOps, Spark Structured Streaming, Azure Data Lake Storage ADLS Gen2, cloud cost optimization, streaming technologies, CI CD pipelines, Delta Lake, Azure Event Hubs