Data Engineer
About this role
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Skills you'll use
What you'll do
- Develop and maintain ETL/ELT pipelines on GCP.
- Work with BigQuery datasets for transformation and analytics workloads.
- Implement batch and near real-time data ingestion pipelines.
- Collaborate with senior engineers and architects to implement best practices.
- Monitor data pipelines and ensure data quality and reliability.
- Support BI and analytics teams with curated datasets.
Who can apply
- 2-4 years of experience in Data Engineering.
- Hands-on experience with Google Cloud Platform (GCP): BigQuery, Dataflow or Dataproc, Cloud Storage
- Strong proficiency in Python and SQL.
- Experience building ETL pipelines and working with structured/unstructured data.
- Familiarity with Airflow or Cloud Composer.
- Understanding of data warehousing concepts.
- Experience with Azure Data Factory (ADF).
- Knowledge of Spark or PySpark.
- Exposure to Git, CI/CD pipelines, and Agile workflows.
- Understanding of streaming concepts (Pub/Sub or Kafka).
- Strong analytical and problem-solving mindset.
- Good communication and collaboration skills.
- Willingness to learn new cloud technologies.
Perks & benefits
Interview & selection process
3 rounds — typical selection flow for this role:
- 1Apply — submit your profile through SRKay's online portal
- 2Screen — initial review and comprehensive phone screening
- 3Interview — technical assessments and cultural-fit interviews
- 4Offer
About SRKay Consulting Group
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