• Collaborate with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and ensure efficient data integration and data quality.

• Optimize data workflows and processes to improve data reliability, performance, and scalability.

• Implement and maintain data governance practices, ensuring data security, compliance, and privacy regulations are adhered to.

• Perform data modeling and schema design to support data analytics and reporting requirements.

• Troubleshoot and resolve issues related to data pipelines, data quality, and system performance.

• Stay up to date with industry trends and emerging technologies in data engineering and recommend innovative solutions to enhance our data infrastructure and processes.

• Bachelor’s degree in computer science, Engineering, or a related field. A master's degree is a plus.

• 5+ years of professional experience in data engineering or a related role.

• Certifications in Informatica Power Center and/or Informatica Cloud (IDMC) preferred.

• Experience with cloud platforms and IDMC will be an added advantage.

• Solid understanding of data modeling, data warehousing, and ETL principles and technologies like talend, SSIS.

• Strong programming skills in languages such as Python, Java, or Scala.

• Experience with distributed computing frameworks such as Apache Hadoop, Spark, or Flink.

• Proficiency in SQL and database technologies like SQL Server, Postgre SQL, or Oracle.

• Solid understanding of data modeling, data warehousing, and ETL principles and technologies.

• Familiarity with cloud-based data platforms like AWS, Azure, or GCP.

• Strong problem-solving and troubleshooting skills.

• Excellent communication and collaboration abilities.