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    Azure Databricks Developer - Delhi, India - KARYA CONSULTANTS PRIVATE LIMITED

    KARYA CONSULTANTS PRIVATE LIMITED
    KARYA CONSULTANTS PRIVATE LIMITED Delhi, India

    3 days ago

    Default job background
    Description

    Responsibilities :

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

    - Participate to understand architecture and solution design- artifacts.

    - Evangelize re-use through the implementation of shared- assets.

    - Proactively implement engineering methodologies, standards, and leading practices.

    - Provide insight and direction on roles and responsibilities required for solution- operations.

    - Identify, communicate and mitigate Risks, Assumptions, Issues, and Decisions throughout the full- lifecycle.

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

    Demonstrate- strong analytical and technical problem-solving- skills.

    - Ability to analyze and operate at various levels of- abstraction.

    - Ability to balance what is strategically right with what is practically- realistic.

    Qualifications we seek in you-

    Minimum qualifications :

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

    - 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 leads for solutioning 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 at least 5+ years of experience in Data Engineering domain with total of 7+ years.

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

    - Must have at least 2+ years of experience on databricks which consists of various components as below

    - Delta lake

    - dbConnect

    - db API 2.

    - 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.

    - 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.

    )
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