Lead Software Engineer (Big Data and Azure)

Accelerate your career with PradeepITPradeepIT is one of the largest, globally recognized IT Consulting firm to connect India's deeply vetted talent team to global customer.Were headquartered in Bengaluru, Silicon Valley of India. PradeepITs customers include SAP Lab, Bosch, Rolls-Royce, Daikin, Daimler and J&J and hundreds of other Fortune 500 companies and fast-growing startups.With continuous hard work and working remotely by choice, PradeepIT is certified as a Great Place to Work! Trusted by leading brands and fortune 500 companies from around the world, we have achieved:6+ Years of Experience580+ Open source technology Consultant120+ SAP Consultant40+ Salesforce Consultant60+ Adobe Consultant100+ Mobility Consultant890+ Clients in APAC, EMEA & USAOur BeliefsPradeepIT believes in connecting people across the globe and provide them an opportunity work on remotely. Being a people-first organization, PradeepIT constantly strives for individuals who won't just keep up, but break new ground, work with cutting edge technology and ramp-up their skills with course created by our Vertical Heads, Senior Architect for freely with help of PradeepIT Academy.Requirements8 to 12 years in Big Data & Data related technology experienceExpert level understanding of distributed computing principlesExpert level knowledge and experience in Apache SparkHands on experience in Azure Databricks, Data Factory, Data Lake store/Blob storage, SQL DBExperience in creating Big data Pipelines with Azure componentsHands on programing with PythonProficiency with Hadoop v2, Map Reduce, HDFS, SqoopExperience with building stream-processing systems, using technologies such as Apache Storm or Spark-StreamingExperience with messaging systems, such as Kafka or RabbitMQGood understanding of Big Data querying tools, such as Hive, and ImpalaExperience with integration of data from multiple data sources such as RDBMS (SQL Server, Oracle), ERP, FilesGood understanding of SQL queries, joins, stored procedures, relational schemasExperience with NoSQL databases, such as HBase, Cassandra, MongoDBKnowledge of ETL techniques and frameworksPerformance tuning of Spark JobsExperience with designing and implementing Big data solutionsPractitioner of AGILE methodologyTechnologiesBig DataAzureSparkPythonAzure DatabricksAzure Data factoryOriginally posted on Himalayas