PySpark Data Engineer | Big Data & Analytics
INR 2400K-3500K (estimate) Senior-level Full Time
Tasks
- Automate data ingestion
- Automate data transformation
- Automate data validation
- Build ML pipelines
- Collaborate with analysts
- Collaborate with data scientists
- Develop data pipelines
- Implement batch processing
- Implement pipeline improvements
- Implement streaming processing
- Monitor pipeline performance
- Optimize data pipelines
- Perform data cleaning
- Perform data transformation
- Perform feature engineering
- Review code and pipeline health
- Support data security best practices
- Train validate deploy models
- Troubleshoot pipeline issues
Perks/Benefits
- Flexible workplace arrangements
- Internal mobility
- Learning and development programs
- Mentoring
- Mentoring programs
Skills/Tech-stack
AWS Glue | Amazon S3 | Apache Airflow | Azure Data | Azure Data Factory | Azure Data Lake | Azure Synapse | CI/CD | Cassandra | Data Factory | Data Lake | Docker | ETL | Git | GitHub Actions | Hadoop HDFS | Hive | Java | Jenkins | Jupyter | Kubernetes | Matplotlib | MongoDB | MySQL | NoSQL | NumPy | Pandas | PyCharm | PySpark | Python | SQL | SQL Server | Scala | Scikit-learn | Seaborn | Spark DataFrames | Spark MLlib | Spark SQL | Studio Code | Visual Studio | Visual Studio Code
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Data Scientist | Engineer | PySpark Data Engineer | Scientist
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