Lead Consultant - Databricks

Genpact (NYSE : G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Inviting applications for the role of Lead Consultant- Databricks Developer !

In this role, the Databricks Developer is responsible for solving the real world cutting edge problem to meet both functional and non-functional requirements.

Responsibilities

Maintains close awareness of new and emerging technologies and their potential application for service offerings and products.

Work with architect and lead engineers for solutions to meet functional and non-functional requirements.

Demonstrated knowledge of relevant industry trends and standards.

Demonstrate strong analytical and technical problem-solving skills.

Must have experience in Data Engineering domain .

Qualifications we seek in you!

Minimum qualifications

Bachelor’s Degree or equivalency (CS, CE, CIS, IS, MIS, or engineering discipline) or equivalent work experience.

Maintains close awareness of new and emerging technologies and their potential application for service offerings and products.

Work with architect and lead engineers for solutions to meet functional and non-functional requirements.

Demonstrated knowledge of relevant industry trends and standards.

Demonstrate strong analytical and technical problem-solving skills.

Must have excellent coding skills either Python or Scala, preferably Python.

Must have experience in Data Engineering domain .

Must have implemented at least 2 project end-to-end in Databricks.

Must have at least experience on databricks which consists of various components as below

Delta lake

dbConnect

db API 2.0

Databricks workflows orchestration

Must be well versed with Databricks Lakehouse concept and its implementation in enterprise environments.

Must have good understanding to create complex data pipeline

Must have good knowledge of Data structure & algorithms.

Must be strong in SQL and sprak-sql.

Must have strong performance optimization skills to improve efficiency and reduce cost.

Must have worked on both Batch and streaming data pipeline.

Must have extensive knowledge of Spark and Hive data processing framework.

Must have worked on any cloud (Azure, AWS, GCP) and most common services like ADLS / S3, ADF / Lambda, CosmosDB / DynamoDB, ASB / SQS, Cloud databases.

Must be strong in writing unit test case and integration test

Must have strong communication skills and have worked on the team of size 5 plus

Must have great attitude towards learning new skills and upskilling the existing skills.

Preferred Qualifications

Good to have Unity catalog and basic governance knowledge.

Good to have Databricks SQL Endpoint understanding.

Good To have CI / CD experience to build the pipeline for Databricks jobs.

Good to have if worked on migration project to build Unified data platform.

Good to have knowledge of DBT.

Good to have knowledge of docker and Kubernetes.