KOCHI · FULLTIME
Data Engineer-Data Platforms-Azure
IBM
Kochi · onsite · Posted 55d ago
Sourced from
Undisclosed3–5 yrsfulltimeKochi
About a minute. You'll make an account on the way through.
agent · working
- Read this posting0.2s
- Found the form on Naukri · 13 questions to answer1.0s
- Decided the answers for all of them2.1s
- Tailor your résumé to this role
- Waiting for you
Section · 01
About this role
Your Role and Responsibilities:
As a Data Engineer specializing in Data Platforms on Azure, you will advise on, develop, and maintain data engineering solutions on the Azure Cloud ecosystem. You will design, build, and operate batch and real-time data pipelines using various Azure services.
Your primary responsibilities will include: Design and Build Data Pipelines: Design, build, and operate batch and real-time data pipelines using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. Develop Data Layer: Design, build, and operate the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. Apply Azure Expertise: Apply proficiency in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure Purview, and Cosmos DB. Implement Open Source Technologies: Implement open source technologies like Apache Airflow and dbt, Spark / Python, or Spark / Scala to support data engineering solutions. Operate Azure Services: Operate Azure services such as Azure Event Hub and Streaming Analytics, Managed Streaming for Apache Kafka, and Azure DataBricks with Spark.
Your primary responsibilities will include: Design and Build Data Pipelines: Design, build, and operate batch and real-time data pipelines using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. Develop Data Layer: Design, build, and operate the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. Apply Azure Expertise: Apply proficiency in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure Purview, and Cosmos DB. Implement Open Source Technologies: Implement open source technologies like Apache Airflow and dbt, Spark / Python, or Spark / Scala to support data engineering solutions. Operate Azure Services: Operate Azure services such as Azure Event Hub and Streaming Analytics, Managed Streaming for Apache Kafka, and Azure DataBricks with Spark.
Required Education:
Bachelor's Degree
Preferred education
Master's Degree
Required Technical and Professional Expertise:
Exposure to Azure Toolset: Experience working with Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub to design, build, and operate batch and real-time data pipelines. Proficiency in Azure Data Platform: Exposure to Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure Purview, and Cosmos DB. Data Pipeline Development: Experience working with batch and real-time data pipelines using Azure services, including designing, building, and operating data pipelines. Open Source Technologies: Exposure to open source technologies like Apache Airflow and dbt, Spark / Python, or Spark / Scala to support data engineering solutions. Azure Services Operation: Experience working with Azure services such as Azure Event Hub and Streaming Analytics, Managed Streaming for Apache Kafka, and Azure DataBricks with Spark.
Preferred Technical and Professional Experience:
Proficiency in Open Source Technologies: Exposure to open source technologies like Apache Airflow and dbt, Spark / Python, or Spark / Scala to support data engineering solutions. Knowledge of Azure Services: Experience working with Azure services such as Azure Event Hub and Streaming Analytics, Managed Streaming for Apache Kafka, and Azure DataBricks with Spark. Familiarity with Data Pipeline Development: Exposure to designing, building, and operating batch and real-time data pipelines using Azure services.
Years of Experience:
3 - 5
3 - 5
Sourced from naukri
Section · 02
Skills
Apache SparkdataSQL AzureAnalyticsPythonPower BiTableauSQLData WarehousingAzure Data FactoryAzure DatabricksAzure Data Lakedata analysisData Entry OperationETLexcelMicrosoft AzureSQL ServerBig DataMachine Learning
Section · Company
About IBM
IBM
IT Services & Consulting
130k+
employees
1911
115 years old
Bangalore / Bengaluru, Karnataka
India
About
IBM has been dedicated to every client's success and to creating innovations that matter for the world.
Industries
IT Services & ConsultingFinancial ServicesEmerging Technologies
Employee ratings
25,767 reviews
3.9/ 5
Culture
3.9
Career growth
3.0
Work-life
4.0
Employees rate it well for
Work Life Balance4166Salary3460Work Culture2867Learning2246Senior Management1890
Find them on