Experience- 4-9years
We're looking for a PySpark Developer who enjoys working with data at scale and has a strong foundation in PySpark, ETL development, and SQL. If you're passionate about building efficient data pipelines, transforming large datasets into meaningful insights, and solving complex data challenges, we'd love to connect with you.
Requirements
What You'll Do
- Develop and maintain robust data pipelines using PySpark.
- Design and build scalable ETL processes to support business and analytics needs.
- Write optimized SQL queries for data extraction, transformation, validation, and reporting.
- Work with large volumes of structured and unstructured data.
- Ensure data quality, accuracy, and consistency across various data sources.
- Identify and resolve performance bottlenecks in existing data workflows.
- Collaborate with cross-functional teams to understand requirements and deliver reliable data solutions.
- Participate in code reviews and contribute to data engineering best practices.
What We're Looking For
- 4–8 years of experience in Data Engineering or related roles.
- Strong hands-on experience with PySpark and large-scale data processing.
- Solid expertise in designing and developing ETL pipelines.
- Advanced SQL skills, including query optimization and performance tuning.
- Good understanding of data warehousing and data modeling concepts.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
Nice to Have
- Experience with AWS.
- Exposure to Airflow or other workflow orchestration tools.
- Familiarity with Hadoop ecosystem technologies.
- Experience working with modern data lake or cloud data platforms.
Benefits
- Comprehensive Medical Coverage:Health insurance of INR 5.0 Lakhs for you and your family (up to 6 members), ensuring complete peace of mind.
- Robust Protection Plans:Group Personal Accident Insurance and Group Term Life Insurance to safeguard you and your loved ones.
- Retirement Benefits:PF and Gratuity provided as per standard government regulations.
- Flexible Work Options:Enjoy hybrid work arrangements & flexible working hours
- Generous Leave Policy:21 days of annual leave, in addition to 10 company-declared holidays.
- Employee Well-being Spaces:Access to a dedicated break-out area with round-the-clock refreshments for relaxation and rejuvenation
Skills Required
- 4-8 years of experience in Data Engineering or related roles
- Hands-on experience with PySpark and large-scale data processing
- Experience designing and developing ETL pipelines
- Advanced SQL skills, including query optimization and performance tuning
- Understanding of data warehousing and data modeling concepts
- Strong problem-solving skills and attention to detail
- Excellent communication and collaboration skills
- Experience with AWS
- Exposure to Airflow or other workflow orchestration tools
- Familiarity with Hadoop ecosystem technologies
- Experience with modern data lake or cloud data platforms
What We Do
DATAECONOMY is a global, cloud-first data and AI consultancy delivering enterprise-grade solutions through an innovative intellectual-property suite. Its work spans data and BI platform modernization, self-service AI, data mesh and fabric, master data management, governance, cloud enablement, digital engineering, knowledge graphs, and machine lakes supporting cybersecurity and financial-crime use cases for enterprise clients.
