Senior Data Analytics Engineer

As a seasoned Data Analytics Engineer with over 10 years of experience, you will be responsible for leading data architecture, analytics, and visualization initiatives for our client. Your role will involve designing and maintaining ETL pipelines, data models, and architectures to analyze large-scale data using SQL and Python. Additionally, you will create dashboards and visualizations in Power BI or Tableau, work with big data technologies such as Spark and Hadoop, and utilize cloud platforms like AWS, Azure, or GCP. Managing both structured and unstructured data (SQL, NoSQL: Cassandra/MongoDB) will be a key aspect of your responsibilities. Collaboration with cross-functional teams to deliver data-driven solutions will be essential, along with documenting systems, ensuring performance monitoring, and maintaining data integrity. The ideal candidate for this position should have a minimum of 10 years of experience, with at least 5 years in data analytics and 5 years in data engineering. Proficiency in SQL, Python, ETL processes, and data modeling is required, as well as hands-on experience with BI tools, big data technologies, and cloud environments. Strong communication, problem-solving, and stakeholder engagement skills are crucial for success in this role. A degree in Computer Science, Data Science, or a related field (Masters preferred) is also necessary. If you are interested in this opportunity and meet the requirements, please feel free to share your resume with us at cv@refrelay.com. Immediate/Early Joiners are preferred for this position.,