Lead Data Engineer - ETL/Python

<p><p><b>Roles & Responsibilities : </b><br/><br/>- Design, develop, and maintain data pipelines for ingestion, processing, and storage using SQL, Python, and Big Data technologies.<br/><br/>- Build scalable solutions on Google BigQuery and manage large datasets efficiently.<br/><br/>- Collaborate with Data Scientists, Analysts, and Business teams to understand requirements and deliver actionable data insights.<br/><br/>- Optimize SQL queries, Python scripts, and BigQuery jobs for performance and cost efficiency.<br/><br/>- Implement data governance, quality checks, and security standards across all data assets.<br/><br/>- Monitor and troubleshoot ETL pipelines and data workflows to ensure reliability.<br/><br/>- Participate in architecture discussions and recommend best practices for Big Data solutions.</p><p><br/></p><p><b>Required Skills : </b><br/><br/>- Strong experience in SQL, Python, and Big Data frameworks (Hadoop, Spark, or similar).<br/><br/>- Hands-on experience with Google BigQuery and cloud-based data platforms.<br/><br/>- Expertise in ETL/ELT processes and data warehousing concepts.<br/><br/>- Experience with data modeling, data pipelines, and large-scale data processing.<br/><br/>- Knowledge of cloud platforms (GCP, AWS, or Azure) is a plus.<br/><br/>- Strong problem-solving, analytical, and communication skills.</p><p><br/></p><p><b>Desired Skills : </b><br/><br/>- Familiarity with Airflow, Dataflow, or other workflow orchestration tools.<br/><br/>- Experience with BI tools like Tableau, Looker, or Power BI.<br/><br/>- Certification in Google Cloud Data Engineering is a plus</p><br/></p> (ref:hirist.tech)