Futurestep Recruitment Services Private Limited | Jobs | Data Engineer | BigDataKB.com | 31-01-22

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    Job Location: Bengaluru

    Development

    • Hands-on, sleeves-up design, modeling, development, and delivery are expected as a matter of course.
    • Strong working knowledge of Azure services and components, and the ability to stitch together various components towards a scalable, reliable and sustainable enterprise solution.
    • Production experience delivering CI/CD pipelines across Azure and vendor products.
    • Key knowledge of architectural patterns across code and infrastructure development.
    • Contribute towards the design and development of the enterprise standards.

    Delivery

    • Ensure project goals are achieved with quality and on time in alignment with the stakeholders expectations.
    • Ability to work on complex projects and in a distributed environment.
    • Escalate when necessary and promptly
    • Work in close collaboration with other team members in the Enterprise Data & Analytics Platform team to ensure Development/Delivery aspects are well represented in the projects requirements and deliverables.

    Methodology

    • Incorporate agile ways of working into the delivery process utilizing DABL (Discovery, Alpha, Beta, Launch)
    • Lead with modern data design and test driven development.
    • Individuals will work as part of a product-centric delivery team(s) that will deliver value independently while fully embracing integrated DevOps approaches.

    Ownership

    • Take ownership of the delivery/development projects and help steer until completion.

    Governance

    • Maintain governance that allows projects and stakeholders to manage overall project performance and manage program risks within the global nature of some of the programs.

    Forward looking:

    • Remain flexible towards technology approaches to ensure we are taking advantage of new technologies.
    • Keep abreast of industry developments in analytics and interpret how these would impact services and present new opportunities.

    Quality, Risk & Compliance:

    • Ensure all risks and issues associated with owned projects are promptly recorded and managed in the appropriate Risk & Issue logs.
    • Ensure all Risks and Issues have clear action/mitigation/contingency plans defined, named action owners, and timelines for completion.

    Technical Architecture

    • Be conversant with technical architecture to contribute to design discussions in partnership with the Delivery/Development Lead and dedicated Analytics & Data Architect.

    Key Technical skills and experience required.

    • MS/BS degree in Computer Science, Engineering, Data Science or equivalent experience, with a preference on experience and proven track record. An ideal candidate would have an impressive hands-on work history in an advanced, recognized, and innovative environment.
    • Data engineering experience and seasoned coder in the relevant languages: Python, SQL, Scala, Java etc.
    • 5+ years in Data Platform experience- specific to owning and enabling capabilities within an enterprise data ecosystem, including Data Management practices (Analytics/Platform)
    • 5+ years experience with the Azure data and analytics stack: Databricks, Data Factory, SQL DW,Cosmos DB, Power BI, Power Apps, AKS, etc.
    • 5+ years of experience integrating and supporting various enterprise data tools, Talend, Collibra, Synapse/Snowflake, etc.
    • Production experience delivering CI/CD pipelines across Azure and vendor products.
    • Key knowledge of architectural patterns across code and infrastructure development.
    • Fully conversant with big-data processing approaches and schema-on-read methodologies. Preference for a deep understanding of Spark, Databricks, and Delta Lake and applying them to solve data science and machine learning business problems.
    • Experience with Agile delivery frameworks and tools: SAFe, Jira, Confluence, Azure DevOps, etc.
    • Experience with visualization tools and their application: developing reports, dashboards, and KPI scorecards.
    • Familiar deploying enterprise analytics solutions at scale with applicable services: administration, qualification and user access provisioning.
    • Experience articulating the business value of analytics projects and progressing solutions from MVP to scaled-up production solutions.
    • Ability to work in close partnership with groups across the IT organization (security, compliance, infrastructure, etc.) and business stakeholders in the commercial organizations.
    • Ability to develop and maintain productive working relationships with suppliers and specialist technology providers to assemble and maintain a distinctive and flexible mix of capabilities against future requirements.
    • The ideal candidate possesses excellent communication skills and the ability to communicate inherently complicated technical concepts to non-technical stakeholders of all levels.

    Note: This us an Individual Contributor role. There will be a test on Programming/Software Development.

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