2 Stepfunctions Jobs

Lead is responsible to oversee the migration and modernization of the customer s platform and database services from Google Cloud Platform (GCP) to Amazon Web Services (AWS) Lead should provide technical guidance and mentorship to the data engineering team Design a robust AWS architecture for the database services, utilizing services such as Amazon RDS, Amazon Redshift, Amazon Aurora, Amazon Athena and Amazon DynamoDB Implement migration strategies and modernization processes, ensuring compatibility, performance, and adherence to best practices Collaborate closely with application and infrastructure teams to facilitate seamless integration of database services Identifies and implements opportunities for optimization and performance improvements during the migration Ensure compliance with data security, governance, and regulatory requirements during the migration Must have skills: Proven experience in cloud migration and modernization projects, with a strong understanding of AWS and GCP services. Strong understanding of cloud architecture principles and best practices Experience with data migration tools and strategies for AWS Understanding of AWS services such as S3, Redshift, RDS, and Data Pipeline. Skills in designing data models for both GCP and AWS environments. Proficiency in ETL (Extract, Transform, Load) processes and tools, including AWS Glue and Apache Beam. Knowledge of both SQL and NoSQL databases Proficient in scripting and automation tools using Python, Bash, or similar languages to automate data transfer and to streamline migration processes Strong ability to work effectively with cross-functional teams Proficient in documenting migration processes and providing training/support to stakeholders Experience in project planning, including defining timelines, milestones, and deliverables Skilled in scoping, planning, and executing data-related projects while adhering to timelines and budgets Ability to convey data requirements and migration benefits to non-technical stakeholders Strong documentation skills for creating architectural documents and communicating complex concepts to non-technical stakeholders Certifications : For Lead Architects at least 2 Professional or Specialty level AWS certification For Associate Architects at least 1 Professional or Specialty level AWS Certification For Senior Data Engineers at least 1 Associate level AWS certification Good to have skills: Certifications: Relevant AWS Certifications (e. g. , AWS Certified Solutions Architect) are advantageous Knowledge of big data technologies like Hadoop, Spark and Kafka for handling large datasets

As a Senior Client Solutions Partner you will be a part of the core sales and GTM team of Quantiphi and you will be responsible for execution of end-to-end sales processes in a B2B environment. Prepare and deliver technical presentations explaining products or services to customers and prospective customers Managing customer communication & relationships. Engage & drive end-to-end pre-sales activities for business development for the company in the Data analytics. Ability to identify & prospect full range - Proficient in developing business collaterals based on latest developments in Data modernization to showcase the potential of data for the enterprise. Experience in handling or being hands-on for data modernization projects. Work in conjunction with the Solution Architects & Data Engineering teams together, analyze and prospect business problems to be solved using large volumes of quantitative and qualitative data and develop of point of view to build a solution for the problems. Applying the right analysis frameworks to develop creative solutions to complex business problems. Planning and executing both short-term and long-range projects and manage teamwork, and client expectations. Challenge and inspire customers and peers to solve difficult problems with ambitious and novel solutions. Work with the team to identify and qualify business opportunities. Identify key customer technical objections and develop a strategy to resolve technical blockers. Work hands-on with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments and manage the technical relationship with Google s customers. Recommend integration strategies, enterprise architectures, platforms and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud. This includes understanding, analyzing and prospecting complex business problems to be solved using Data solutions & AI Applications in a variety of industries including Healthcare, Media, BFSI, CPG, Retail, and many others. Travel to customer sites, conferences, and other related events as required. Responsibilities: You would be involved in the development of new business opportunities and value-added services which requires a high level of creativity, learning potential and deep quantitative subject matter expertise and therefore self-driven individuals willing to learn on the go would be preferred. Strong team player. Degree in Business (MBA), Computer Science Engineering. Good communication , abstraction , analytical and presentation skills. Experience of B2B sales , customer communication and relationship mangement Experience and knowledge of critical phases of the sales process which includes requirement gathering, sales planning, solution scoping, proposal writing and presentation. Data driven mindset. Your plans and actions are backed by not just gut feeling but also customer/industry/market research. Knowledge and willingness to learn and apply emerging trends in business research, data engineering, Cloud. Excellent aptitude in business analysis and awareness of quantitative analysis techniques. Excellent communication (both written & verbal) & articulation skills (Mandatory). Strong team player and ability to collaborate with a cross functional team. Experience with sales reporting. Self-driven and strong aptitude to work in an entrepreneurial , fast-paced environment with minimal supervision and a passion for developing new value-added data based solutions for clients across a variety of industries.