Data Engineer...

About Persistent

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 12 of the 30 most innovative global companies, 60% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem.

Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum by reporting $360.2M revenue in Q3 FY25, delivering 4.3% Q-o-Q and 19.9% Y-o-Y growth. Our 23,900+ global team members, located in 19 countries, have been instrumental in helping the market leaders transform their industries. We are also pleased to share that Persistent won in four categories at the prestigious 2024 ISG Star of ExcellenceTM Awards, including the Overall Award based on the voice of the customer. We were included in the Dow Jones Sustainability World Index, setting high standards in sustainability and corporate responsibility. We were awarded for our state-of-the-art learning and development initiatives at the 16th TISS LeapVault CLO Awards. In addition, we were cited as the fastest-growing IT services brand in the 2024 Brand Finance India 100 Report. Throughout our market-leading growth, we’ve maintained a strong employee satisfaction score of 8.2 / 10.

About Position :

Role : Data Full Stack Developer

Location : Sao Paulo, Brazil

Job Type : Contract

Job Summary :

We are seeking a highly skilled and hands-on Senior Data Engineer with strong expertise in Python, PySpark, ETL pipelines, and cloud-based data platforms. The ideal candidate will have a proven track record of designing and implementing scalable data solutions, with deep technical proficiency in data ingestion, transformation, and migration processes.

Key Responsibilities :

• Design, develop, and maintain scalable ETL / ELT pipelines using Python and PySpark.
• Work with large-scale data ingestion and migration projects across cloud and on-premise environments.
• Collaborate with cross-functional teams to understand data requirements and deliver robust data solutions.
• Optimize data workflows for performance, reliability, and scalability.
• Implement and manage data lake and data warehouse architectures.
• Ensure data quality, integrity, and governance across all stages of the pipeline.
• Utilize AWS services (especially S3, Glue, Lambda, etc.) for cloud-native data engineering solutions.
• Participate in code reviews, technical design discussions, and mentoring junior engineers.

Required Skills & Qualifications :

Preferred Skills :

Educational Qualifications :

Benefits :

Values-Driven, People-Centric & Inclusive Work Environment :

Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

We offer hybrid work options and flexible working hours to accommodate various needs and preferences.

Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities.

If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive.

Let’s unleash your full potential at Persistent

For more detail, please contact – Rahul Sharma (Rahul_sharma8@persistent.com)

“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”