Genpact Principal Consultant-Sr. Databricks Developer

Responsibilities

Closely work with Architect and lead to design solutions to meet functional and non-functionalrequirements.

Participate to understand architecture and solution designartifacts.

Evangelize re-use through the implementation of sharedassets.

Proactively implement engineering methodologies, standards, and leading practices.

Provide insight and direction on roles and responsibilities required for solutionoperations.

Identify, communicate and mitigate Risks, Assumptions, Issues, and Decisions throughout the fulllifecycle.

Considers the art of the possible, compares various solution options based on feasibility and impact, and proposes actionableplans.

Demonstratestrong analytical and technical problem-solvingskills.

Ability to analyze and operate at various levels ofabstraction.

Ability to balance what is strategically right with what is practicallyrealistic.

Qualifications we seek in you!

Minimum qualifications

Excellent technical skills to enabling the creation of future-proof, complex globalsolutions

Bachelor&rsquos Degree or equivalency (CS, CE, CIS, IS, MIS, or engineering discipline) or equivalent workexperience.

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

Work with architect and leads for solutioning to meet functional and non-functionalrequirements.

Demonstrated knowledge of relevant industry trends andstandards.

Demonstratestrong analytical and technical problem-solvingskills.

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 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 strong understanding of Data warehousing and various governance and security standards around Databricks.

Must have knowledge of cluster optimization and its integration with various cloud services.

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/Skills

Good to have Rest API knowledge.

Good to have understanding around cost distribution.

Good to have knowledge of Databricks platform design.

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.