Data Engineer - Python, PySpark, SQL
Role Overview
We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and processing solutions.
The ideal candidate will have strong hands-on experience with Python, PySpark, and SQL, along with a solid understanding of data engineering best practices.
Key Skills for This Role
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Job Description
Role: Data Engineer - Python, PySpark, SQL
Location: Las Vegas, NV (3 Days onsite/week) Job Summary: We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and processing solutions. The ideal candidate will have strong hands-on experience with Python, PySpark, and SQL, along with a solid understanding of data engineering best practices.
Key Responsibilities
- Develop and optimize ETL/ELT pipelines using Python and PySpark. • Write complex SQL queries for data extraction, transformation, and analysis. • Process large datasets and improve data quality, reliability, and performance. • Collaborate with analysts, developers, and business teams to deliver data solutions. • Troubleshoot pipeline issues and maintain technical documentation.
- Develop and optimize ETL/ELT pipelines using Python and PySpark.
- Write complex SQL queries for data extraction, transformation, and analysis.
- Process large datasets and improve data quality, reliability, and performance.
- Collaborate with analysts, developers, and business teams to deliver data solutions.
- Troubleshoot pipeline issues and maintain technical documentation.
Required Qualifications
- Strong proficiency in Python, PySpark, and SQL. • Experience with data warehousing, data modeling, and distributed processing. • Knowledge of cloud data platforms and orchestration tools is preferred. • Strong analytical, problem-solving, and communication skills.
- Mandatory Skills: Data Integration Pyspark.
- Experience: 5-8 Years.
- The expected compensation for this role ranges from $60,000 to $135,000.
- 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.
- Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
- Strong proficiency in Python, PySpark, and SQL.
- Experience with data warehousing, data modeling, and distributed processing.
- Strong analytical, problem-solving, and communication skills.
- Data Integration Pyspark.
- 5-8 Years.
Preferred Qualifications
- Knowledge of cloud data platforms and orchestration tools is preferred.
About Wipro
Wipro is an Indian technology services and consulting company that helps organizations with digital transformation through offerings in cloud, cybersecurity, data and analytics, artificial intelligence, applications, and engineering.
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