Leads data integration development using Azure, Hadoop, Spark, Scala, Java, SQL, and relational databases. Responsibilities include data modeling, analytics, solution design, requirements analysis, development, maintenance, and quality delivery in an agile, client-focused environment. The role requires strong problem-solving, interpersonal, communication, and technical skills, along with adaptability, motivation, and the ability to learn quickly.
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
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The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.
