Sr. Data Lake Support Engineer

Unisys India (Private) LTD-UGS Hyderabad

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Remote, PA, US remote Until 9/9/2026 3+ years exp H-1B sponsor history First posted July 11, 2026 Last posted July 11, 2026
Job description

What success looks like in this role:

The Sr. Data Lake Support Engineer will support database operations, ETL processes, cloud services, and enterprise applications within a secure environment. This role combines SQL development, database administration, Azure support, and production support responsibilities. The ideal candidate will have strong SQL skills, experience with Windows and Linux environments, and an interest in cloud-based data platforms.

Key Responsibilities

  • Support SQL Server databases, including query development, troubleshooting, and maintenance.
  • Maintain and support ETL processes and data integrations.
  • Provide operational support for Azure services and cloud infrastructure.
  • Monitor system performance and resolve production issues.
  • Support enterprise applications, reporting platforms, and file transfer processes.
  • Collaborate with technical teams to ensure data availability and system reliability.
  • Support Windows and Linux server environments.

    You will be successful in this role if you have:

    Required Qualifications

    • Strong SQL Server and T-SQL experience, including joins, subqueries, stored procedures, and views.
    • Experience supporting SQL Server databases in a production environment.
    • Experience with Azure Portal and Azure cloud services.
    • Experience supporting ETL processes and data integration workflows.
    • Knowledge of Windows Server administration and basic Linux support.
    • Strong troubleshooting and problem-solving skills.

    Preferred Qualifications

    • Experience with Databricks & Kubernetes.
    • PowerShell scripting experience.
    • Experience with ServiceNow.
    • Familiarity with Power BI or reporting platforms.
    • Knowledge of database performance tuning and optimization.
    • Must be a US Citizen with the eligibility to obtain a government security clearance.

    #LI-JV1

    This role may require access to export-controlled commodities and technology.  Therefore, to conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.

    Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.

    This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4).  US job seekers can find more information about Unisys’  EEO commitment here.

    About this role

    Summary

    Support database operations, ETL, and cloud services; troubleshoot and optimize systems.

    Job title

    Sr. Data Lake Support Engineer

    Experience level

    senior level

    Minimum experience

    3+ years exp

    Industry

    software

    Location requirements

    Remote work with occasional travel in Pennsylvania, USA allowed

    Salary

    Not specified

    Visa sponsorship

    H-1B sponsor history

    Management role

    No

    Skills & keywords

    Required skills

    SQL ServerT-SQLAzureETL supportWindows ServerLinux support

    Preferred skills

    DatabricksKubernetesPowerShellServiceNowPower BIdatabase tuning

    Specializations

    SQLAzurecloud
    Locations

    Structured locations inferred from the posting.

    Unknown location

    Remote