Data Architect

As an experienced Data Engineer, you will play a crucial role in transforming and manipulating large datasets using various ETL processes. Your responsibilities will include: - Utilizing your 6 to 8 years of relevant experience to handle data transformation & ETL tasks efficiently. - Demonstrating your 10+ years of expertise in working with large datasets for data transformation. - Applying your 5+ years of experience in Data Modeling across different types such as Relational, Dimensional, Columnar, and Big Data. - Leveraging your 5+ years of proficiency in complex SQL or NoSQL for effective data handling. - Utilizing your 5+ years of hands-on experience with industry-standard ETL tools like Informatica and Unifi. Moreover, you will bring your knowledge and expertise in the following areas: - Designing customer-centric datasets related to CRM, Call Center, Marketing, and Point of Sale. - Mandatory familiarity with Adobe Experience Platform (AEP) for seamless data operations. - Advanced understanding of Data Warehouse concepts to enhance data processing. - Working knowledge of Big Data technologies including Hadoop, Spark, Redshift, Snowflake, Hive, and Pig. - Experience with Reporting Technologies like Tableau and PowerBI for data visualization. - Familiarity with Adobe Experience Cloud solutions for comprehensive data management. - Proficiency in Digital Analytics and Digital Marketing to support business strategies effectively. Your role will also involve: - Applying professional software development skills to enhance data processing efficiency. - Utilizing programming languages such as Python, Java, or Bash scripting for scripting tasks. - Engaging in Business Requirements definition, structured analysis, and process design. - Demonstrating strong verbal & written communication skills to liaise with Sales teams and customers. - Showcasing exceptional organizational skills to manage multiple customer projects simultaneously. - Being self-managed, proactive, and customer-focused to ensure successful project outcomes.,