HigHRise Solutions LLP | Jobs | Azure/Python Data Engineer (Lead Associate, Assistant Manager) | BigDataKB.com | 27-03-22

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    Job Location: Gurgaon/Gurugram

    Brief Job Description:
    Drive the evolution of Azure data practices and architecture, augmenting the overarching technology strategy as well as streamlining the lay of the data ecosystem. Understand existing business processes and practices, identify opportunities and implement solutions leveraging thorough knowledge of Azure data and PaaS will be key.

    Must have – Azure Data Factory, Databricks, Python

    Required Competencies and Experience
    Design and configuration of data movement, streaming and transformation (ETL) technologies such as Azure Data Factory, HDF, Kafka, SSIS, LogicApps, Alteryx, Pentaho
    Multi-system data Integration using industry standards and API Gateway, iPaaS and ESB technologies such as Apache Knox, Mulesoft, Tibco, Informatica, SnapLogic
    Expose data to end-users and data consumers using Azure APIs and data visualization platforms, particularly Power BI, Alteryx with strong focus on data pipelining
    Large scale design, implementation and operations of OLTP, OLAP, DW and NoSQL data storage technologies such as SQL Server, Azure SQL, Azure SQL DW, PostgreSQL, Azure Data Lake Store, Hadoop, Hive, MongoDB, MySQL,CosmosDB, Cassandra, HBase
    Enablement of data reuse through Data Catalog/Marketplace, Metadata, Search and Governance technologies such as Azure Data Catalog, Apache Atlas, Apache Solr, Azure Search, Alteryx Connect, CollibraCatalog, Global IDs
    Creation of descriptive, predictive and prescriptive analytics solutions using Azure Stream Analytics, Azure Analysis Services, Data Lake Analytics, HDInsight, HDP, Spark, Databricks, MapReduce, Hive, SSAS, Watson Analytics, SPSS
    Application of Information Architecture in large enterprise through use of industry standard modelling, mapping, management, metadata, lineage and quality standards and technologies
    CI/CD delivery using code management, configuration management and automation tools such as GitHub, VSTS, Jenkins, Maven, etc.

    Hands-on with the following will be an advantage
    Hands-on with ETL tools, Data Warehouse, SQL, SSAS, Programming in T-SQL
    Azure Data Storage Components such as BLOB and Azure Data Lake
    Azure Data Factory, Data bricks, Azure SQL DW, Azure SQLDB, Polybase SQL
    Azure Automation, Azure Power Shell Scripting, AzCopy, DevOps, DevSecOps
    Functional knowledge of programming scripting and data science languages such as Python, JavaScript, PowerShell, Bash, SQL, .NET, Java, PHP, Ruby, PERL, C++, R, etc.
    Good understanding of Azure AD concepts
    Data-lakes, raw/enriched/curated layer concepts and ETL within Azure framework
    Data governance, master data management and data quality and maturity processes
    Experience with any of the following: Azure, O365, Azure Stack, Azure AD
    Experience with any claims-based authentication (SAML/OAuth/OIDC), MFA, RBAC, or ABAC
    Cloud security controls including tenant isolation, encryption at rest, encryption in transit, key management, vulnerability assessments, application firewalls, SIEM, etc.
    Soft Skills:
    • Should possess a strong flair to understand evolving data landscape, the change in data systems and their influence in the enterprise data ecosystem
    • Have a formidable understanding of the nuances of on-prem vs cloud solutions
    • Excellent team player and collaborate effectively with multiple stakeholders internally and with clients
    • Have excellent written/spoken communication skills, client engagement, presentation and negotiation skills
    • Must have the ability to translate business needs into technical requirements
    • Ability to communicate and foster positive working relationships with all levels of management and company personnel
    • Ability to make decisions and solve problems, while working under pressure

    Qualification& Experience:
    Must be an MCA/BE/BTech/MTech/MSc (IT)/MBA (Systems/IT). Master’s Degree or equivalency (CS, CE, CIS, IS, MIS, or engineering discipline)
    3-8 years overall IT industry experience
    2+ years in a Data Engineer & solution architecture role using service and hosting solutions such as private/public cloud IaaS, PaaS and SaaS platforms
    2+ years in a platform/product architecture/development role

    Apply Here

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