Pyspark & Databricks certified Developer

About the job
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.
Responsibilites

- Designing and implementing data ingestion pipelines from multiple sources using Azure Databricks

- Developing scalable and re-usable frameworks for ingesting of data sets

- Integrating the end to end data pipleline - to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times

- Working with event based / streaming technologies to ingest and process data

- Working with other members of the project team to support delivery of additional project components (API interfaces, Search)

- Evaluating the performance and applicability of multiple tools against customer requirements

Requirements

- Bachelors degree and at least one year of experience designing, developing, deploying and/or supporting data pipelines using Databricks

- Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS

- Hands on experience in performance tuning and optimizing code running in Databricks environment

- Proficient in programming languages like Pyspark and Python

- Good understanding of SQL, T-SQL and/or PL/SQL

- Demonstrated analytical and problem-solving skills particularly those that apply to a big data environment

- Willingness to work on-site or remote, as needed

Originally posted on Himalayas