Job Description

Must Have :

data engineer role using service and hosting solutions such as private/public cloud PaaS platforms . Implementation, and operations of OLTP, OLAP, DW technologies such as Azure SQL, Azure SQL DW, , Azure Data Lake Store , Azure Data Factory and understanding of Microsoft Azure PaaS features. . Design and configuration of data movement, streaming and transformation (ETL) technologies such as Azure Data Factory, Azure data Bricks, Azure Stream Analytics , SSIS runtime integration with ADF . Hands on Visualization using technologies such as PowerBI, Tableau . Good Understanding of IoT technologies such as IoT Hub, IoT Edge, Event Grid . Identify, communicate, and mitigate Risks, Assumptions, Issues and Decisions throughout full lifecycle . Familiarity with the some of Technology stack available in the industry for data management, data ingestion, capture, processing, and curation: Kafka, Stream Sets, Antiunity, Map Reduce, Hadoop, Hive, HBase, Cassandra, Spark, Flume, Hive, Impala, etc. . Good knowledge of SQL and excellent coding skills (Python, R).

Good to have :

Good knowledge on migrating on premise applications to Azure PaaS and Azure IaaS and ETL query with Python language . Strong problem-solving and analytical skills. . DevOps on an Azure platform . Nice to have any below certification – DP-200 Implementing an Azure Data Solution – DP-201 Designing an Azure Data Solution . Functional knowledge of programming scripting and data science

Desired Candidate Profile

BACHELOR OF TECHNOLOGY