Specialist - Data Engineering
LTM, Dallas, TX, United States
Looking for full‑time profiles who are open to relocate to Dallas, TX.
Job Title and Location
Title: Azure Data Engineer
Location: Fort Worth, TX
Job Description
Seeking an overseas contractor with 5 to 7 years of experience to design, develop, and maintain scalable data engineering solutions using Python and Azure Data Factory within the Azure Data Factory (ADF) skill cluster.
Roles & Responsibilities
Collaborate closely with source data application teams and product owners to gather and translate business requirements into robust technical solutions.
Design, develop, and maintain scalable and efficient data pipelines and ETL processes using Python and Azure Data Factory.
Implement data migration and transformation workflows leveraging Azure cloud services to enable efficient data ingestion, processing, and storage.
Ensure data quality, security, and compliance by adhering to best practices and governance policies within Azure environments.
Optimize performance of data pipelines and cloud infrastructure to support large‑scale data processing.
Support continuous integration and continuous deployment (CI/CD) pipelines for data engineering projects.
Stay updated with emerging Azure and data engineering technologies and recommend improvements to existing solutions.
Work independently and collaboratively within cross‑functional teams to deliver data engineering solutions aligned with business objectives.
Provide technical leadership and mentorship to junior engineers and team members on best practices in Python programming and Azure Data Factory.
Collaborate with DevOps teams to manage deployment, monitoring, and support of data engineering solutions.
Troubleshoot and resolve data pipeline issues to ensure high availability, reliability, and optimal performance.
Participate in architectural discussions and contribute to the development and enforcement of coding standards, security guidelines, and privacy compliance.
Engage with stakeholders to gather requirements and translate them into technical solutions aligned with business goals.
Drive continuous improvement initiatives by researching and applying industry best practices in cloud data engineering.
Support production environments with timely incident response and root‑cause analysis.
Benefits and Perks
Comprehensive Medical Plan covering Medical, Dental, Vision
Short‑Term and Long‑Term Disability Coverage
401(k) Plan with Company match
Life Insurance
Vacation Time, Sick Leave, Paid Holidays
Paid Paternity and Maternity Leave
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job‑related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation such as an annual performance‑based bonus, sales incentive pay, and other forms of bonus or variable compensation.
EEO Statement
LTIMindtree is an equal‑opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family‑care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
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Job Title and Location
Title: Azure Data Engineer
Location: Fort Worth, TX
Job Description
Seeking an overseas contractor with 5 to 7 years of experience to design, develop, and maintain scalable data engineering solutions using Python and Azure Data Factory within the Azure Data Factory (ADF) skill cluster.
Roles & Responsibilities
Collaborate closely with source data application teams and product owners to gather and translate business requirements into robust technical solutions.
Design, develop, and maintain scalable and efficient data pipelines and ETL processes using Python and Azure Data Factory.
Implement data migration and transformation workflows leveraging Azure cloud services to enable efficient data ingestion, processing, and storage.
Ensure data quality, security, and compliance by adhering to best practices and governance policies within Azure environments.
Optimize performance of data pipelines and cloud infrastructure to support large‑scale data processing.
Support continuous integration and continuous deployment (CI/CD) pipelines for data engineering projects.
Stay updated with emerging Azure and data engineering technologies and recommend improvements to existing solutions.
Work independently and collaboratively within cross‑functional teams to deliver data engineering solutions aligned with business objectives.
Provide technical leadership and mentorship to junior engineers and team members on best practices in Python programming and Azure Data Factory.
Collaborate with DevOps teams to manage deployment, monitoring, and support of data engineering solutions.
Troubleshoot and resolve data pipeline issues to ensure high availability, reliability, and optimal performance.
Participate in architectural discussions and contribute to the development and enforcement of coding standards, security guidelines, and privacy compliance.
Engage with stakeholders to gather requirements and translate them into technical solutions aligned with business goals.
Drive continuous improvement initiatives by researching and applying industry best practices in cloud data engineering.
Support production environments with timely incident response and root‑cause analysis.
Benefits and Perks
Comprehensive Medical Plan covering Medical, Dental, Vision
Short‑Term and Long‑Term Disability Coverage
401(k) Plan with Company match
Life Insurance
Vacation Time, Sick Leave, Paid Holidays
Paid Paternity and Maternity Leave
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job‑related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation such as an annual performance‑based bonus, sales incentive pay, and other forms of bonus or variable compensation.
EEO Statement
LTIMindtree is an equal‑opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family‑care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
#J-18808-Ljbffr