You will be responsible for designing, developing, and optimizing complex Alteryx workflows for data extraction, transformation, and loading (ETL). Your role will involve implementing data quality checks and automating workflows to ensure efficient data processing. Additionally, you will create and maintain interactive Tableau dashboards and reports, optimizing them for performance and collaborating with stakeholders to meet reporting needs. Your expertise in SQL will be crucial as you write efficient queries, stored procedures, and functions for data extraction, manipulation, and analysis. You will also be expected to perform data profiling and optimize queries for large datasets. Collaboration and communication skills are essential as you work closely with data analysts and business stakeholders to understand data requirements and deliver robust analytics solutions. Documenting solutions for knowledge sharing and providing user support will also be part of your responsibilities. To be successful in this role, you must have an Alteryx Designer Core/Advanced Certification. A Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related quantitative field is required. You should have at least 5 years of hands-on experience as an Alteryx Developer, with a strong portfolio of implemented workflows. Expert-level proficiency in SQL, including advanced querying, stored procedures, and performance tuning is necessary. Additionally, you should have expertise in developing and deploying interactive dashboards and reports using Tableau Desktop and Tableau Server. AABM Cloud Data Solutions is committed to providing reasonable accommodations to qualified individuals with disabilities. If you require any accommodations during the application process or to perform the essential functions of the job, please contact us.,
Applicants must have a history of working directly as a Data Modeler. Please note that candidates with primary experience in Data Engineering, Data Analytics, or Project Management WILL NOT BE A SUITABLE FIT FOR THIS ROLE AND WILL NOT BE CONSIDERED FOR THIS POSITION (Please do NOT apply if you do not meet this requirement) JOB RESPONSIBILITIES Design and maintain conceptual, logical, and physical data models for all systems. Create and document detailed ER Diagrams using tools like Lucidchart. Translate business needs into stable and efficient data structures. Enforce data modeling standards and best practices. Optimize database structures and SQL for peak performance. Work with developers and architects to implement the data models on platforms like snowflake and oracle . REQUIRED QUALIFICATIONS MANDATORY BANKING EXPERIENCE: Proven, significant work history in the BANKING or Financial Services sector is an absolute requirement. MANDATORY 10+ years of experience as a Data Modeler role. Bachelor's degree in Computer Science, Information Technology, or a related technical field. Expert ability to translate complex business requirements into clear, efficient data structures. Exceptional analytical, critical-thinking, and problem-solving skills. Strong verbal and written communication skills, with the ability to lead discussions with both technical and business stakeholders. Highly organized, with a strong attention to detail and a commitment to data quality and governance.
We are seeking a Senior Data Engineer with 10+ years of experience to join our team. Required Qualifications 10+ years of experience in data engineering or similar role. Hands on experience in snowflake, SSIS, Python (including NumPy and Pandas) is mandatory. Expertise in SQL and any cloud environment (AWS & Azure, etc.) is mandatory. Proficiency in mordern BI tools or any other ETL tools along with SSIS is a plus.
You are sought after to join our team as a Senior Data Engineer, bringing with you over 10 years of experience in data engineering or a similar role. Your expertise in snowflake, SSIS, and Python (including NumPy and Pandas) is crucial for this role. Additionally, you must have a strong command of SQL and be well-versed in working with any cloud environment such as AWS & Azure. Proficiency in modern BI tools or other ETL tools, in addition to SSIS, would be an advantage.,
You are sought after for the role of Senior Data Engineer, bringing with you over 10 years of experience in data engineering or a related field. Your expertise in snowflake, SSIS, and Python (including NumPy and Pandas) is crucial for this position. You must also possess a strong command of SQL and have worked in a cloud environment such as AWS or Azure. Knowledge of modern BI tools and other ETL tools, in addition to SSIS, would be beneficial. **Key Responsibilities:** - Utilize your extensive experience in data engineering to develop and maintain data pipelines. - Collaborate with cross-functional teams to design and implement data solutions. - Optimize data processes for performance and reliability. - Troubleshoot and resolve data-related issues in a timely manner. **Qualifications Required:** - 10+ years of experience in data engineering or a similar role. - Hands-on experience with snowflake, SSIS, and Python (including NumPy and Pandas). - Proficiency in SQL and working knowledge of cloud environments like AWS & Azure. - Familiarity with modern BI tools and ETL tools, including SSIS, is a plus.,