Data Engineer

As a skilled Data Engineer, your role will involve designing, building, and maintaining efficient data pipelines and architectures to support analytics and business intelligence initiatives. Your hands-on experience in data integration, ETL development, and cloud-based data platforms will be crucial for this position. Key Responsibilities: - Design and implement data pipelines for the ingestion, transformation, and storage of large datasets. - Develop and maintain ETL processes to ensure data quality, consistency, and availability. - Collaborate with data analysts, scientists, and business teams to support data-driven initiatives. - Optimize data workflows for scalability and performance. - Manage and monitor data warehouses and data lakes on cloud platforms. - Ensure compliance with data governance, security, and privacy standards. Qualifications Required: - Proficiency in Python, SQL, and ETL tools such as Informatica, Talend, or Apache Airflow. - Experience with big data technologies like Spark, Hadoop, or Kafka. - Working knowledge of cloud platforms such as AWS, Azure, or GCP. - Familiarity with data warehousing concepts and tools like Redshift, Snowflake, or BigQuery. - Experience with data modeling, schema design, and API integrations. - Understanding of version control using Git and CI/CD pipelines. Please note: The job description also mentions technical skills required for the position, including proficiency in various programming languages, tools, and technologies related to data engineering. The company reference provided is hirist.tech.,