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Python Automation Specialist
1 week ago
We are seeking a skilled Python Automation Specialist to join our product development team at SpurQLabs. The successful candidate will focus on designing, developing, and maintaining scalable and efficient PySpark-based automation for data ingestion, processing, and calculation. You will work closely with data engineers, analysts, and stakeholders to deliver impactful data solutions in a fast-paced environment.
### Key Responsibilities
#### Collaborate with Data Engineers and Stakeholders
- Collaborate with data engineers and stakeholders to define requirements and deliver automated solutions for high-performance data pipelines.
#### Design and Develop Scalable Data Pipelines
- Design, develop, and maintain scalable and efficient PySpark-based automation for data ingestion, processing, and calculation.
#### Automate Data Integration
- Automate the reading and integration of data from multiple sources, such as databases, APIs, flat files, and cloud storage.
### Required Skills and Qualifications
- 3+ years strong proficiency in Python for data handling and validation.
- Strong experience in Python libraries like pandas, NumPy, duckdb, etc.
- Familiarity with cloud platforms such as AWS, Azure, or GCP (e.g., S3, Databricks, or BigQuery).
- Experience with data pipeline orchestration tools such as Apache Airflow, or similar.
- Proficiency in SQL for querying and manipulating data.
- Experience in handling structured, semi-structured, and unstructured data.
- Familiarity with CI/CD processes and version control tools such as Git.
- Knowledge of performance tuning and optimization techniques in PySpark.
#### Nice to Have
- Knowledge of Spark architecture, including RDDs, DataFrames, and Spark SQL.
- Quality Engineering background with prior experience of building automation solutions for data-heavy applications.
- Familiarity with REST APIs and data integration techniques.
### Benefits and Perks
- Competitive salary package.
- Opportunities for growth and professional development.
- Collaborative and dynamic work environment.
- Recognition and rewards for outstanding performance.