Senior Consultant - Lead Pyspark Cloud Data Engineer
Description
The experience we are looking to add to our team
Required
- Bachelors degree or higher from a reputed university
- 8 to 12 years total experience with majority of that experience related to building high performant data pipelines batch and streaming
- Strong Hands on experience / expert-level proficiency in PySpark for data processing, transformation, and analysis
- Extensive experience in implementing large scale data ingestion and curation solutions
- Hands-on experience with cloud-based data platforms, preferably Google Cloud Platform (GCP) and services like Dataproc, BigQuery, and Cloud Storage
- Knowledge in Apache Iceberg for open table formats
- Advanced SQL skills for data querying, manipulation, and optimization
- Proficiency with Git and collaborative development workflows
- Excellent analytical and problem-solving skills with a keen attention to detail
- Strong communication and interpersonal skills, with the ability to explain complex technical concepts to both technical and non-technical audiences
Good to have
- Expertise in Google Cloud services
- Proven experience with Apache Iceberg for open table formats and BigLake Metastore for unified metadata management
- Strong experience with dbt (data build tool) for data modeling, transformation, and orchestration
- Experience in Data Goverce and Data quality tools like Atlan, Monte Carlo etc.
- Experience in processing streaming data using Kafka / Pub-Sub
- Healthcare industry experience
- Experience in Agile