Sr Engineer - Data
Xperi Inc. (company site, opens in a new tab)4–6 yrsBengaluruHybridDirect career pageEst. 12–22 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable batch and streaming data pipelines using Python, SQL, and distributed frameworks such as Apache Spark (PySpark/Scala).
- Build and administer cloud data solutions across GCP (BigQuery, Cloud Storage, Dataflow) and AWS (S3, Redshift, Glue).
- Implement data transformation and modeling pipelines using dbt, manage ingestion using dlt, handle orchestration with Apache Airflow and CI/CD, and ensure data quality and governance.
Minimum Requirements
- 4 to 6 years of hands-on experience in data engineering or related roles.
- Proficiency in Python, SQL, Apache Spark (PySpark/Scala), and experience with data build tools (dbt) and Data Load Tool (dlt).
- Experience with cloud platforms Google Cloud Platform and Amazon Web Services, including tools like BigQuery, Redshift, S3, and Dataflow.
- Work Experience Required: 4 to 6 years in designing, building, and maintaining scalable cloud data infrastructure.
Ideal Candidate Profile
- Experienced with large-scale data pipeline development and cloud data warehousing in both GCP and AWS environments.
- Familiar with batch and streaming data processing, and managing workflow orchestration and CI/CD pipelines.
- Skilled in enforcing data quality, schema evolution, lineage tracking, and data governance best practices.