Python Data Engineer
Albiorix Technology
Date: 2 weeks ago
City: Ahmedabad, Gujarat
Contract type: Full time

Requirements
- Strong proficiency in Python (pandas, PySpark, or similar frameworks).
- Solid knowledge of SQL (query optimization, joins, indexing, performance tuning).
- Experience with ETL frameworks/workflow orchestration (Airflow, or custom pipelines).
- Hands-on with cloud platforms (AWS S3, Redshift, Glue, GCP BigQuery, Azure Data Factory).
- Knowledge of data warehousing concepts and schema design (Star/Snowflake).
- Familiarity with file formats such as JSON, Parquet, Avro.
- Exposure to big data ecosystems (Hadoop, Spark, Hive, Kafka) is a plus.
- Experience with containerization and orchestration (Docker, Kubernetes).
- Familiarity with CI/CD practicesfor data pipelines (GitHub Actions, Jenkins, etc.).
- Exposure to real-time/streaming platforms (Kafka, Kinesis, Pub/Sub).
- Design, develop, and maintain scalable data pipelines and ETL workflows using Python and SQL.
- Work with structured, semi-structured, and unstructured data to ensure efficient ingestion, transformation, and storage.
- Optimize data processes for performance, scalability, and cost-efficiency.
- Manage and monitor data workflows to ensure accuracy, consistency, and reliability.
- Implement data quality checks, validation, and error-handling mechanisms in pipelines.
- Integrate data from multiple sources (databases, APIs, cloud storage, streaming platforms).
- Work with cloud environments (AWS/Azure/GCP) for data storage, processing, and orchestration.
- Maintain clear documentation of data workflows, schemas, and business logic.
- Support and troubleshoot production issues in data pipelines and recommend improvements.
- Awareness of data security and governance (IAM roles, encryption).
- Knowledge of monitoring/logging tools (CloudWatch, Grafana, ELK stack).
- Awareness of data security and governance (IAM roles, encryption).
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