Job Description

Company Overview: Anblicks empowers businesses to become intelligent enterprises by leveraging cutting-edge data, AI & ML, and cloud technologies. Founded in 2004 and headquartered in Dallas, Texas, Anblicks transforms organizations into data-driven powerhouses equipped to excel in the digital age. With deep expertise in strategy, data engineering, AI/ML, and cloud services, Anblicks provides scalable solutions that streamline operations and transform customer experiences. The company collaborates closely with clients to overcome complex challenges and fully unlock the potential of their data Position Overview: We are seeking a skilled and experienced Data Engineer with 3-6 years of experience to join our dynamic team. The ideal candidate will have a strong background in data engineering, with a focus on problem-solving and effective communication. This role requires proficiency in core technical skills and project-specific tools, with a preference for candidates who have experience in AI, machine learning, and business intelligence. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Optimize and manage data storage solutions in cloud environments. Implement and maintain data models to support business analytics and reporting. Ensure data quality and integrity through rigorous testing and validation. Utilize SQL, Python, and Spark to process and analyze large datasets. Work with Databricks , or other project-specific tools like Snaplogic or Talend. Required Qualifications: 4-6 years of experience in data engineering or a related field. Strong problem-solving skills and effective communication abilities. Proficiency in SQL, Python, Spark, and cloud technologies. Solid understanding of data modeling and ETL processes. Experience with Databricks , or other relevant tools. Preferred Qualifications: Knowledge of AI and machine learning techniques. Experience with business intelligence tools and practices.