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&nbsp;● Bachelor's degree in Computer Science, Engineering, Information Technology, or a related quantitative field. ● 3+ years of professional experience in data engineering or a similar role, with a strong focus 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, specifically BigQuery. ○ Competency in loading data into BigQuery using various methods (e.g., batch loading from Cloud Storage, streaming inserts). ○ Strong SQL querying skills within BigQuery, including understanding of BigQuery'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 best practices to BigQuery data.● Familiarity with data warehousing concepts and experience with data lake architectures. ● Understanding of data quality principles and experience implementing data validation techniques. ● Experience with version control systems (e.g., Git). ● Excellent problem-solving skills and attention to detail. ● Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.

● Bachelor's degree in Computer Science, Engineering, Information Technology, or a related quantitative field. ● 3+ years of professional experience in data engineering or a similar role, with a strong focus 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, specifically BigQuery. ○ Competency in loading data into BigQuery using various methods (e.g., batch loading from Cloud Storage, streaming inserts). ○ Strong SQL querying skills within BigQuery, including understanding of BigQuery'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 best practices to BigQuery data.● Familiarity with data warehousing concepts and experience with data lake architectures. ● Understanding of data quality principles and experience implementing data validation techniques. ● Experience with version control systems (e.g., Git). ● Excellent problem-solving skills and attention to detail. ● Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.

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