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    Job · 16967882

    EXL Service logo

    Manager

    EXL Service · Gurugram · onsite · Posted 43d ago

    Undisclosed8–12 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Role Overview:
     
    We are looking for a highly skilled and motivated Senior Data Engineer to join our growing data engineering team.
     
    Key Responsibilities:
     
    • In this role, you will build services that will integrate directly with Lending Club’s products and with external vendors. you
    • You will work with modern data technologies such as Hadoop, Spark, DBT, Dagster/Airflow, Atlan, Trino, etc., modern data platforms such as Databricks and Snowflake and cloud technologies across AWS stack
    • Identify, design, and implement automation of manual processes, optimizing data delivery, reducing Cloud cost, etc.
    • Implement processes and systems to monitor Data Quality, Observability, Governance and Lineage.
    • Support operations to manage the production environment and help in resolving production issues with RCA
    • Write unit/integration tests, adopt Test-driven development, contribute to engineering wiki, and document design/implementation etc.
     
    Skills required: 
     
    • Strong hands-on experience with distributed systems and big data technologies, including Hadoop, Spark, Hive, DBT, and Airflow/Dagster.
    • Minimum 4 years of solid production-quality coding experience in Python focused on data pipeline development.
    • Experience working with cloud platforms, preferably AWS.
    • Experience with Databricks and/or Snowflake.
    • Proficiency in Git, JIRA, Jenkins, and shell scripting.
    • Good understanding of Agile methodologies, source control management, test automation, and Test-Driven Development.
    • Experience working with cross-functional teams in fast-paced and dynamic environments.
    • Strong analytical, collaborative problem-solving, and communication skills.
    • Proven track record of building fast, scalable, reliable, and high-quality data pipelines.
     
    Nice to Have: 
     
    Experience building data pipelines for Digital Marketing use cases.
     
     
    Required Qualifications:
     
    • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
    • 6+ years of experience in Data Engineering or related roles
    • Self-driven and proactive mindset.
    • Strong ownership and accountability and communication skills. Passion for building scalable and maintainable data systems.
    • Ability to work independently while collaborating effectively with distributed teams and client.
    • In this role, you will build services that will integrate directly with Lending Club’s products and with external vendors. you
    • You will work with modern data technologies such as Hadoop, Spark, DBT, Dagster/Airflow, Atlan, Trino, etc., modern data platforms such as Databricks and Snowflake and cloud technologies across AWS stack
    • Identify, design, and implement automation of manual processes, optimizing data delivery, reducing Cloud cost, etc.
    • Implement processes and systems to monitor Data Quality, Observability, Governance and Lineage.
    • Support operations to manage the production environment and help in resolving production issues with RCA
    • Write unit/integration tests, adopt Test-driven development, contribute to engineering wiki, and document design/implementation etc.
    • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
    • 6+ years of experience in Data Engineering or related roles
    • Self-driven and proactive mindset.
    • Strong ownership and accountability and communication skills. Passion for building scalable and maintainable data systems.
    • Ability to work independently while collaborating effectively with distributed teams and client.

    Sourced from naukri

    Skills

    JenkinsBashAgileApache SparkHivebig data technologiesamazon web servicesapache airflowApache Hadoopsoftware testingDatabricksPysparkPythonJira AtlassianSQLCommunication SkillsproductionAutomation TestinganalyticalSnowflakemarketingDistribution SystemBig DataGIT

    About EXL Service

    EXL Service logo

    EXL Service

    Analytics & KPO

    39.1k+

    employees

    1999

    27 years old

    New York City,New York

    US

    ₹11.1L PA avg

    Avg at EXL Service

    About

    We make sense of data and drive your business forward

    Industries

    Analytics & KPO

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