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Location - Dallas, TX
There will be inperson LTIM and client interviews
Salary - upto 125K
Job Summary
Seeking a Specialist with 5 to 7 years of experience in designing and implementing data engineering solutions using Python and Azure Data Factory within the Azure Data Factory ADF skill family
Job Description
Design develop and maintain scalable data pipelines and ETL processes using Python and Azure Data Factory Collaborate with source data application teams and product owners to understand data requirements and deliver analytics solutions Utilize Azure Data Factory and Azure Data Lake for data ingestion storage and processing Implement data migration and transformation workflows leveraging Azure cloud services Ensure data quality performance tuning and optimization of data pipelines Support continuous integration and continuous deployment CICD pipelines for data engineering projects Apply best practices for data governance privacy and security within Azure environments Stay updated with emerging Azure technologies and recommend improvements to existing data solutions
Roles and Responsibilities
Lead the design and implementation of batch and streaming data pipelines using Azure Data Factory and related Azure services Provide technical leadership and mentorship to team members on Python programming and Azure Data Factory best practices Collaborate with DevOps teams to manage deployment monitoring and support of data engineering solutions Troubleshoot and resolve data pipeline issues ensuring high availability and reliability Participate in architectural discussions and contribute to the development of coding standards and security guidelines Engage with crossfunctional teams to align data engineering efforts with business objectives Drive automation of data workflows and improve operational efficiency Support production environments and provide timely incident response and root cause analysis
Mandatory Skills : Python, Azure Data Factory
Good to Have Skills : AZURE DATA LAKE
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):
Benefits and Perks:
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 like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.
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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