<p>Job Summary : </p><p><br/></p><p>We are looking for an experienced Data Engineer with strong hands-on expertise in Google Cloud Platform (GCP) and BigQuery to design, build, and manage scalable data pipelines.
The ideal candidate will have a deep understanding of ETL frameworks, data modeling, and cloud-based analytics solutions.<br/><br/>Key Responsibilities : </p><p><br/></p><p>- Design, develop, and maintain scalable data pipelines and ETL workflows on GCP.<br/><br/>- Work extensively with BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Composer (Airflow).<br/><br/>- Optimize data storage, query performance, and cloud cost efficiency.<br/><br/>- Collaborate with data scientists, analysts, and business teams to deliver clean, structured datasets.<br/><br/>- Implement data quality checks, lineage, and governance across data platforms.<br/><br/>- Automate data workflows using Python, SQL, and orchestration tools.<br/><br/>- Integrate data from multiple sources, including APIs, on-prem databases, and third-party applications.<br/><br/>- Ensure security, scalability, and reliability in all data architecture designs.<br/><br/>Required Skills & Experience :<br/><br/>- Hands-on experience with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage)<br/><br/>- Proficiency in SQL and Python<br/><br/>- Strong understanding of ETL concepts, data modeling, and data warehousing<br/><br/>- Familiarity with CI/CD pipelines (Git, Jenkins, etc.)<br/><br/>- Experience with workflow orchestration tools such as Apache Airflow or Cloud Composer<br/><br/>- Working knowledge of DataOps and DevOps best practices<br/><br/>- Excellent problem-solving, debugging, and communication skills<br/><br/>Good to Have :<br/><br/>- Experience with Snowflake, Databricks, or Terraform<br/><br/>- Knowledge of machine learning pipelines or streaming data (Kafka)<br/><br/>- Exposure to data visualization tools (Tableau, Power BI, Looker)</p> (ref:hirist.tech)