Specialist - Data Engineering
Description
Seeking a data engineer with 6 to 10 years of experience to design, develop, and maintain scalable data engineering solutions using Python and Azure Data Factory (ADF) within the Azure Data Factory ADF skill cluster.
Job Description
- Design, develop, and maintain scalable data engineering solutions using Python, Azure Data Factory (ADF), and Azure Databricks.
- Build, orchestrate, and optimize ADF pipelines for reliable data ingestion and transformation workflows.
- Develop and optimize PySpark jobs in Databricks for large-scale, distributed data processing.
- Translate business requirements into efficient cloud-based data integration and analytics solutions.
- Ensure data quality, performance, and reliability across end-to-end ETL/ELT pipelines.
- Monitor, troubleshoot, and resolve failures related to ADF pipelines and Databricks workloads.
- Adhere to Azure security, governance, and compliance standards for overseas contractor delivery models.
Other details
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity. Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):
- 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
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
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.