Data Integration Lead
- Canada
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Job details
- Posting language
- English
- Posted
Original job description
Technical knowledge in multiple technologies and frameworks – Azure Cloud – ADF, ADB, ADLS, DeltaLake, Hadoop big data ecosystems (MapReduce, HDFS, HBase, Hive, Sqoop, Yarn, Spark, Spark SQL), Scala, Java/J2ee, Spring, Json, XML, Web service, JDBC, MS Sql Server, Db2, Oracle. Having quality experience in data modeling, data analytics, agile methodology, development activities, design, requirement analysis, and maintenance. Equipped with strong problem-solving & interpersonal skills, have a proven ease of working in a client-driven environment, delivering commendable quality client service. Quick learner, commi��ed towards work, highly motivated, technical
More about this job
Responsibilities
The Data Integration Lead is responsible for designing, developing, and maintaining complex data integration solutions within a client-driven environment. They will perform requirement analysis and data modeling to ensure high-quality delivery of data services.
Requirements
Candidates must possess extensive technical expertise in Azure cloud services, Hadoop ecosystems, and various database technologies. Strong problem-solving skills and experience with agile methodologies are required to succeed in this role.
Skills
- Azure Cloud
- ADF
- ADB
- ADLS
- DeltaLake
- Hadoop
- Spark
- Scala
- Java
- Data Modeling
- Data Analytics
- Agile Methodology
- SQL
- MS Sql Server
- Db2
- Oracle
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Engineering
Keywords
- Azure Cloud
- ADF
- ADB
- ADLS
- DeltaLake
- Hadoop
- MapReduce
- HDFS
- HBase
- Hive
- Sqoop
- Yarn
- Spark
- Spark SQL
- Scala
- Java
- J2ee
- Spring
- Json
- XML
- Web Service
- JDBC
- MS Sql Server
- Db2
- Oracle
- Data Modeling
- Data Analytics
- Agile Methodology