StatusNeo - Data Engineer (BigQuery)

Job Title: Data Engineer (Python, PySpark, BigQuery)
Location: Mumbai (Onsite)
Experience: 7+ Years
Employment Type: Full-Time

Job Summary:

We are looking for a highly experienced Data Engineerwith deep expertise in Python, PySpark, and BigQuery to join our data engineering team in Mumbai. The ideal candidate will be responsible for building and maintaining large-scale data pipelines and data infrastructure to support real-time and batch analytics across the organization.

Key Responsibilities:

• Design, develop, and maintain efficient and scalable ETL/ELT data pipelines using Python and PySpark
• Manage and optimize large datasets in Google BigQuery, ensuring high performance and cost efficiency
• Work closely with Data Scientists, Analysts, and Product Teams to understand data needs and deliver timely solutions
• Perform data modeling, transformation, and integration from multiple data sources
• Ensure data quality, validation, and integrity across all systems and workflows
• Build and maintain job orchestration and scheduling using tools like Apache Airflow
• Write efficient SQL queries and scripts for data extraction and reporting
• Maintain clear documentation of data workflows, architecture, and business logic

Must-Have Skills:

• 7+ years of hands-on experience in Data Engineering
• Strong programming skills in Python, with expertise in writing modular, production-ready code
• Proficiency in PySpark for distributed data processing
• Solid experience working with Google BigQuery, including query optimization and data management
• Strong SQL skills and experience with relational and columnar databases
• Experience with job orchestration tools like Apache Airflow (or similar)
• Excellent problem-solving and analytical skills
• Familiarity with version control tools like Git