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Senior Data Engineer/Python Developer @ Luxoft

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 Senior Data Engineer/Python Developer

Job Description

Project description
  • Luxoft has been asked to contract a Developer in support of a number of customer initiatives. The primary objective is to develop based on client requirements in the Telecom/network work environment
    • Responsibilities
  • A Data Engineer with experience in the following techologies:
  • Databricks and Azure
  • Apache Spark-based, hands on Python, SQL, Apache Airflow.
  • Databricks clusters for ETL processes.
  • Integration with ADLS, Blob Storage.
  • Efficiently ingest data from various sources, including on-premises databases, cloud storage, APIs, and streaming data.
  • Use Azure Key Vault for managing secrets.
  • Hands on experience working with API''s
  • Kafka/Azure EventHub streaming hands on experience
  • Hands on experience with data bricks delta API''s and UC catalog Hands on experience working with version control tools Github
  • Data Analytics
  • Supports various ML frameworks.
  • Integration with Databricks for model training.
  • OnPrem
  • Exposure on Linux based systems
  • Unix scripting
    • Skills
  • Must have
  • Python, Apache Airflow, Microsoft Azure and Databricks, SQL, databricks clusters for ETL, ADLS, Blob storage, ingestion from various sources including databases and cloud storage, APIs and streaming data, Kafka/Azure EventHub, databricks delta APIs and UC catalog.
  • Education: Typically, a Bachelor''s degree in Computer Science (preferably M.Sc. in Computer Science), Software Engineering, or a related field is required.
  • Experience: 7+ years of experience in development or related fields.
  • Problem-Solving Skills: Ability to troubleshoot and resolve issues related to application development and deployment.
  • Communication Skills: Ability to effectively communicate technical concepts to team members and stakeholders. This includes written and verbal communication.
  • Teamwork: Ability to work effectively in teams with diverse individuals and skill sets.
  • Continuous Learning: Given the rapidly evolving nature of web technologies, a commitment to learning and adapting to new technologies and methodologies is crucial.
  • Nice to have
  • Snowflake, PostGre, Redis exposure
  • GenAI exposure
  • Good understanding of RBAC

    • Job Classification

    Industry: Legal
    Functional Area / Department: Engineering - Software & QA
    Role Category: DBA / Data warehousing
    Role: Data warehouse Developer
    Employement Type: Full time

    Contact Details:

    Company: Luxoft
    Location(s): Bengaluru

    + View Contact

    Keyskills:   python developer snowflake python github data analytics streaming data data engineer airflow databricks microsoft azure redis sql analytics spark apache spark kafka linux software engineering telecom etl apache airflow azure

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    Luxoft

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