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    Senior Data Engineer - Pune, India - Velotio Technologies

    Velotio Technologies
    Velotio Technologies Pune, India

    2 days ago

    velotio technologies background
    Technology / Internet
    Description
    Velotio Technologies

    is a product engineering company working with innovative startups and enterprises.

    We have provided full-stack product development for 110+ startups across the globe, building products in the cloud-native, data engineering, B2B SaaS, IoT & Machine Learning space.

    Our team of 325+ elite software engineers solves hard technical problems while transforming customer ideas into successful products.

    Requirements
    Work closely with our clients providing evaluation and recommendations of design patterns and solutions for data platforms with a focus on ETL, ELT, ALT, lambda, and kappa architectures
    Define SLAs, SLIs, and SLOs with inputs from clients, product owners, and engineers to deliver data-driven interactive experiences
    Provide expertise, proof-of-concept, prototype, and reference implementations of architectural solutions for cloud, on-prem, hybrid, and edge-based data platforms
    Provide technical inputs to agile processes, such as epic, story, and task definition to resolve issues and remove barriers throughout the lifecycle of client engagements
    Creation and maintenance of infrastructure-as-code for cloud, on-prem, and hybrid environments using tools such as Terraform, CloudFormation, Azure Resource Manager, Helm, and Google Cloud Deployment Manager
    Mentor, support and manage team members.


    Desired Skills & Experience:
    6+ years of demonstrable experience in enterprise level data platforms involving implementation of end-to-end data pipelines
    Hands-on experience in using Databricks
    Hands-on experience with at least one of the leading public cloud data platforms (Amazon Web Services, Azure or Google Cloud)

    Experience with column-oriented database technologies (e.g., Big Query, Redshift, Vertica), NoSQL database technologies (e.g., DynamoDB, BigTable, Cosmos DB, etc.) and traditional database systems (e.g.

    , SQL Server, Oracle, MySQL)

    Experience in architecting data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc.

    Metadata definition and management via data catalogs, service catalogs, and stewardship tools such as OpenMetadata, DataHub, Alation, AWS Glue Catalog, Google Data Catalog.

    Test plan creation and test programming using automated testing frameworks, data validation and quality frameworks, and data lineage frameworks
    Data modeling, querying, and optimization for relational, NoSQL, timeseries, graph databases, data warehouses and data lakes
    Data processing programming using SQL, DBT, Python, and similar tools
    Logical understanding of programming in Python, Spark, PySpark, Java, Javascript, and/or Scala
    Cloud-native data platform design with a focus on streaming and event-driven architectures
    Participate in integrated validation and analysis sessions of components and subsystems on production servers
    Data ingest, validation, and enrichment pipeline design and implementation
    SDLC optimization across workstreams within a solution
    Bachelor's degree in Computer Science, Engineering, or related field


    Our Culture:
    We have an autonomous and empowered work culture encouraging individuals to take ownership and grow quickly.
    Flat hierarchy with fast decision making and a startup-oriented "get things done" culture.
    A strong, fun & positive environment with regular celebrations of our success. We pride ourselves in creating an inclusive, diverse & authentic environment.


    We want to hire smart, curious, and ambitious folks, so please reach out even if you do not have all of the requisite experience.

    We are looking for engineers with the potential to grow

    Note:

    Currently, all interview and onboarding processes at Velotio will be carried out remotely through virtual meetings until further notice.

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