Virtusa
Senior Consultant
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Job Title
We are seeking an experienced ETL Developer with strong expertise in end-to-end data ingestion and ETL development. The ideal candidate will have hands-on experience building scalable data pipelines, processing structured and semi-structured data, and working with modern data engineering technologies such as Databricks and Apache Flink.
Responsibilities
- Design, develop, and maintain end-to-end ETL and data ingestion pipelines.
- Develop scalable data processing solutions using Java/Python, Databricks, and Apache Flink.
- Integrate data from multiple source systems and transform it into standardized formats.
- Process structured and semi-structured data efficiently.
- Optimize ETL jobs for performance, scalability, and reliability.
- Ensure data quality, validation, and integrity throughout the data pipeline.
- Collaborate with cross-functional teams to understand business and technical requirements.
- Troubleshoot production issues and provide timely resolutions.
- Follow coding standards, documentation, and best engineering practices.
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Requirements
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- Strong hands-on experience in end-to-end ETL development and data ingestion.
- Proficiency in Java or Python programming.
- Experience designing and developing scalable data pipelines.
- Hands-on experience with Databricks for data processing, transformation, and optimization.
- Strong experience with Apache Flink for stream and batch data processing.
- Experience working with multiple file formats, including CSV, JSON, XML, Parquet, and Avro.
- Experience ingesting data from multiple source systems such as databases, APIs, cloud storage, and messaging systems.
- Understanding of data transformation, validation, cleansing, and data quality best practices.
- Strong debugging, troubleshooting, and performance.
- Experience with Apache Spark or PySpark.
- Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Experience with Kafka or other messaging/streaming platforms.
- Familiarity with Delta Lake and Lakehouse architecture.
- Experience with SQL and relational databases.
- Knowledge of CI/CD pipelines and DevOps practices.
- Experience with workflow orchestration tools such as Apache Airflow.
- Understanding of data governance, security, and monitoring.
- Experience working in Agile/Scrum development environments.
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