We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM.
Data and Analytics Supervisor (AWS)
RSM is looking for a highly skilled and experienced AWS Engineering Supervisor to join our offshore team. The ideal candidate will have a strong background in data engineering, data modeling, data transformation, storage design, and cloud architecture. This role requires excellent team leadership and hands-on technical expertise. The AWS Data Engineering Supervisor will be responsible for overseeing the design, development, and management of data engineering solutions, ensuring efficient utilization of AWS services for data storage, transformation, and architecture.
Responsibilities:
- Collaborate with cross-functional teams, including data scientists, analysts, engineers, and stakeholders, to understand business requirements and translate them into technical solutions.
- Lead the design and implementation of data engineering solutions in the AWS cloud environment, leveraging services such as Amazon Redshift, Amazon S3, AWS Glue, AWS Lambda, and Kinesis.
- Execute solution delivery engagements, discerning, defining, refining, and documenting client requirements.
- Design and develop scalable and efficient data pipelines to ingest, transform, and load data from multiple sources into data lakes and data warehouses.
- Implement data security and encryption mechanisms to protect sensitive data stored in AWS environments.
- Optimize data storage and retrieval performance, monitor system health and performance metrics, and troubleshoot issues to ensure the reliability and performance of data engineering solutions.
- Lead and mentor a team of data engineers and analysts, providing technical guidance, coaching, and professional development opportunities.
- Stay current on emerging trends, technologies, and best practices in cloud computing, data management, and data engineering, and assess their potential impact on the organization.
- Collaborate with the sales and business development teams to identify customer needs, develop solution proposals, and present technical demonstrations and presentations to prospective clients.
Required Qualifications:
- Bachelor’s degree or higher in Computer Science, Information Technology, Business Administration, Engineering, or a related field.
- Minimum of 5 years of related work experience in data engineering and data management, with at least 3 years of experience specifically in AWS technologies.
- Proficiency with AWS services such as Amazon Redshift, Amazon S3, AWS Glue, AWS Lambda, and Kinesis, and excellent grasp of AWS well architected guidelines.
- Experience with data modeling (normalized and de-normalized data models), ETL processes, and designing and implementing data solutions.
- Proficiency with SQL, Python, or other programming languages used for data transformation, analysis, and automation.
- Strong understanding of data architecture principles and data security best practices.
- Excellent communication, presentation, and interpersonal skills, with the ability to articulate technical concepts to both technical and non-technical audiences.
- Ability to interact effectively with internal and external resources at all organizational levels.
- Strong critical thinking and problem-solving skills.
- Must be a team player; able to work in virtual teams and independently.
- AWS certifications such as AWS Data Engineer, AWS Database, or AWS Certified Data Analytics (at least one).
Preferred Qualifications:
- AWS Certified Solutions Architect Associate or Professional.
- Experience with Lambda and Kappa architecture frameworks and working with both streaming and batch processing.
- Experience with Quicksight, Power BI, or other reporting and data visualization tools.
- Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools.
- Advanced data and cloud certifications are a plus.
At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/india.html.
RSM does not tolerate discrimination and/or harassment based on race; colour; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the Indian Armed Forces; Indian Armed Forces Veterans, and Indian Armed Forces Personnel status; pre-disposing genetic characteristics or any other characteristic protected under applicable provincial employment legislation.
Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please send us an email at careers@rsmus.com.
