;Bachelor's degree in Computer Science, Engineering, Information Technology, or arelated quantitative field.6 to 8 years of professional experience in data engineering or a similar role, with a strongfocus on building and maintaining data pipelines.Proficiency in at least one programming language commonly used in data engineering(e.g., Python, Java, Scala). Python is highly preferred.Strong experience with analytical engines like Apache Pinot and Elasticsearch..Hands-on experience with ETL/ELT tools and concepts.Proven experience with Google Cloud Platform (GCP) data services, specificallyBigQuery.○ Competency in loading data into BigQuery using various methods (e.g., batchloading from Cloud Storage, streaming inserts).○ Strong SQL querying skills within BigQuery,



including understanding ofBigQuery's unique SQL dialect and functions.○ Familiarity with BigQuery table optimizations like partitioning and clustering.○ Experience with BigQuery's data quality features or applying data quality bestpractices to BigQuery data.Familiarity with data warehousing concepts and experience with data lake architectures.Understanding of data quality principles and experience implementing data validationtechniques.Experience with version control systems (e.g., Git).Excellent problem-solving skills and attention to detail.Solid communication and interpersonal skills, with the ability to explain complextechnical concepts to non-technical stakeholders

📌 Senior Consultant (India)
🏢 Virtusa
📍 India