Lead Software Engineer (Big Data and Azure)
Bengaluru, KA, India
PradeepIT Consulting Services Pvt Ltd
PradeepIT, supported by Asia's largest tech professional network, revolutionizing global talent acquisition. Discover the potential of hiring top Asian tech talents at ten times the speed, starting today!Accelerate your career with PradeepIT
PradeepIT 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 Experience
580+ Open source technology Consultant
120+ SAP Consultant
40+ Salesforce Consultant
60+ Adobe Consultant
100+ Mobility Consultant
890+ Clients in APAC, EMEA & USA
Our Beliefs
PradeepIT 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.
Requirements
- 8 to 12 years in Big Data & Data related technology experience
- Expert level understanding of distributed computing principles
- Expert level knowledge and experience in Apache Spark
- Hands on experience in Azure Databricks, Data Factory, Data Lake store/Blob storage, SQL DB
- Experience in creating Big data Pipelines with Azure components
- Hands on programing with Python
- Proficiency with Hadoop v2, Map Reduce, HDFS, Sqoop
- Experience with building stream-processing systems, using technologies such as Apache Storm or Spark-Streaming
- Experience with messaging systems, such as Kafka or RabbitMQ
- Good understanding of Big Data querying tools, such as Hive, and Impala
- Experience with integration of data from multiple data sources such as RDBMS (SQL Server, Oracle), ERP, Files
- Good understanding of SQL queries, joins, stored procedures, relational schemas
- Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
- Knowledge of ETL techniques and frameworks
- Performance tuning of Spark Jobs
- Experience with designing and implementing Big data solutions
- Practitioner of AGILE methodology
Technologies
- Big Data
- Azure
- Spark
- Python
- Azure Databricks
- Azure Data factory
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure Big Data Cassandra Consulting Consulting firm Databricks Data pipelines ETL Hadoop HBase HDFS Kafka Map Reduce MongoDB NoSQL Open Source Oracle Pipelines Python RabbitMQ RDBMS Salesforce Spark SQL Streaming
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