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