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    Data Engineer - Bengaluru, India - Robosoft Technologies

    Robosoft Technologies
    Robosoft Technologies Bengaluru, India

    3 days ago

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    Description

    Roles and Responsibilities :


    • Develop and automate large scale, highperformance data processing systems (batch and/or streaming) to drive Ola group business growth and improve the product experience.
    • Evangelize high quality software engineering practices towards building data infrastructure and pipelines at scale.
    • Lead data engineering projects to ensure pipelines are reliable, efficient, testable, & maintainable
    • Design our data models for optimal storage and retrieval and to meet critical product and business requirements.
    • Understand and influence logging to support our data flow, architecting logging best practices where needed
    • Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company
    • Partner with leadership, engineers, program managers and data scientists to understand data needs.
    • Educate your partners: Use your data and analytics experience to 'see what's missing', identifying and addressing gaps in their existing logging and processes.
    • Work with stakeholders to build data lineage, data governance and data cataloging.
    • Leading projects using agile methodologies.
    • Communicate effectively with people of all levels in the organization.
    • Recruit, retain and develop people skills to take bigger responsibilities and challenges.
    Experience & Skills :

    • 10+ years of relevant industry experience.
    • 6+ years of experience in managing a 10 plus members team.
    • 7+ years experience in custom ETL design, implementation and maintenance.
    • 5+ years of experience with workflow management engines like Airflow, Dagster etc.
    • Working knowledge of relational databases and query authoring (SQL).
    • Experience with Java / Scala / Spark is preferred
    • Working experience with data at the petabyte scale.
    • Experience designing, building and operating robust distributed systems.
    • Experience designing and deploying high performance systems with reliable monitoring and logging practices.
    • Effectively work across team boundaries to establish overarching data architecture, and provide guidance to individual teams.
    • Expertise of Amazon Web Services (AWS) and/or other relevant Cloud Infrastructure solutions like Microsoft Azure or Google Cloud.
    • Experience in managing and deploying containerized environments using Docker, Mesos/Kubernetes is a plus.
    • Experience in managing projects using scrum methodology.
    - TechStack :

    CloudEra Stack, Oozie, Hive, spark, Flink, Spark, K8s, EMR, Presto, Pinot, Trino, IceBerg, FileFormat: parquet, Avro ORC format, DeltaLake, Parquet, Airflow, Druid, Nifi, Hive/HiveQL, Clickhouse, Debezium (CDC) / DBT, Lakehouse, Spark Structured/Streaming, Flink, Apache Beam, Kafka, Hadoop/HbAse/HDFS, Hudi, File Formats (ORC, Parquet, Iceberg), Query engines (Presto, Hue, Trino), Trino or Presto,

    Stream Processing:
    Hudi vs iceberg vs delta-lake, Druid vs apache pinot vs trino, Apache Nifi, Apache Flume,Fabric and Secor, Maxwell, K8S, LakeHouse,

    Educational Qualifications :

    Bachelor's or Master's degree in Engineering or related technical discipline (from premier institutes preferred)
    )
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