Data Engineer - SQL/Python

<p><p><b>Job Description :</b></p><p><br/><b>Key Responsibilities :</b><br/><br/>- Design, build, and maintain scalable data pipelines and ETL workflows.<br/><br/>- Develop and optimize data models for analytics and reporting.<br/><br/>- Collaborate with data scientists, analysts, and business teams to ensure data availability and quality.<br/><br/>- Work with structured and unstructured data across multiple sources.<br/><br/>- Implement best practices for data governance, security, and compliance.<br/><br/>- Optimize performance of large-scale data systems and troubleshoot data-related issues.<br/><br/>- Deploy and manage data workflows on cloud platforms (AWS, Azure, or GCP).<br/><br/><b>Required Qualifications :</b><br/><br/>- 7+ years of experience as a Data Engineer or in a similar role.<br/><br/>- Strong programming skills in Python, SQL, and/or Scala.<br/><br/>- Hands-on experience with big data tools (Spark, Hadoop, Kafka).<br/><br/>- Experience with cloud-based data services (AWS Redshift, Azure Data Factory, GCP BigQuery, etc.).<br/><br/>- Proficiency in relational and NoSQL databases.<br/><br/>- Strong knowledge of ETL frameworks, data warehousing, and data lake architectures.<br/><br/>- Excellent problem-solving skills and ability to work in Agile environments.<br/><br/><b>Preferred Qualifications :</b><br/><br/>- Experience with data orchestration tools (Airflow, Luigi, Prefect).<br/><br/>- Familiarity with containerization and DevOps tools (Docker, Kubernetes, CI/CD pipelines).<br/><br/>- Knowledge of streaming data pipelines and real-time processing.<br/><br/>- Exposure to machine learning data pipelines is a plus.<br/><br/>- Strong communication and collaboration skills.</p><br/></p> (ref:hirist.tech)