Job Description
Position: Data Engineer
Job Description:
- Strong experience in PySpark, Azure Data Factory, and Python.
- Strong experience in building large-scale data pipelines and ETL workflows.
- Hands-on expertise in PySpark for data processing and transformation.
- Proficiency in Azure Data Factory (ADF) for orchestrating and automating workflows.
- Solid understanding of Python for scripting, data handling, and automation.
- Strong SQL skills and ability to work with relational and non-relational databases.
- Good knowledge of data warehousing concepts and performance optimization.
- Exposure to Azure ecosystem (Data Lake, Databricks, Synapse Analytics, etc.) preferred.
- Excellent problem-solving, analytical, and communication skills.
Experience: 3-5 Years .
The expected compensation for this role ranges from $45,000 to $110,000 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
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