Moolya - Data Engineer
17 hours ago
We are seeking an experienced Data Architect with strong expertise in designing, building, and maintaining scalable data pipelines and data processing solutions. The ideal candidate will have hands-on experience with modern data engineering tools and frameworks, solid programming capabilities, and strong analytical thinking to support data-driven decision-making.
Key Responsibilities :
- Design, develop, and manage robust data pipelines and ETL workflows using PySpark, SQL, and Apache Airflow.
- Integrate data from multiple sources using connectors such as JDBC, Impala, and Hive.
- Optimize data ingestion and transformation processes for performance and scalability.
- Collaborate with data scientists, analysts, and business teams to understand requirements and deliver reliable datasets.
- Implement data quality checks, error handling, and pipeline monitoring to ensure high data integrity.
- Work with large-scale data systems in a distributed environment.
- Participate in code reviews and contribute to continuous improvement of data engineering practices.
Mandatory Skills :
- Strong hands-on experience in PySpark, SQL, and Apache Airflow.
- Experience in developing and managing data pipelines and ETL workflows.
- Proficiency with data connectors such as JDBC, Impala, and Hive.
- Good analytical and programming skills with attention to detail.
- Solid understanding of data structures, data modeling, and performance optimization.
Good to Have :
- Exposure to cloud platforms (Azure / AWS / GCP) and their data services.
- Experience with big data ecosystems (e.g., Hadoop, Databricks).
- Knowledge of version control (Git) and CI/CD for data pipelines.
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