Join our dynamic Engineering practice, dedicated to unlocking the immense value hidden within vast datasets. We provide strategic guidance and implementation services, helping organizations effectively manage data from diverse sources. Our focus is on transforming this data into accurate, actionable insights that drive informed decision-making and create a competitive advantage.

Our expertise spans business intelligence and visualization, data management, performance management, and cutting-edge analytics technologies. This includes leveraging big data, cloud computing, cognitive technologies, and machine learning to solve complex business challenges.

As a Consultant or Senior Consultant within our Technology & Transformation Team, your role involves cultivating strong professional relationships with both internal teams and clients. A key aspect of your contribution will be to consistently exceed client expectations through effective collaboration and high-quality delivery.

Key responsibilities include designing, developing, and deploying robust solutions using various tools and adhering to established design principles. You will configure robotic processes and objects using core workflow principles, ensuring they are maintainable and easy to understand. Facilitating change requirements within a structured change control process is also crucial, alongside solving daily operational issues for robotics processes and providing prompt resolutions. Maintaining comprehensive documentation for solutions, test procedures, and scenarios during UAT and Production phases is essential. You will coordinate with process owners and business stakeholders to understand existing processes and design effective automation flows.

This role requires 5-8 years of hands-on experience in managing medium to large-scale data integration and data warehousing solutions. Proficiency in Snowflake, Oracle PL/SQL, and Control M is essential. A strong working knowledge of AWS services such as S3, EC2, CloudWatch, Lambda, Fargate, and Terraform is expected, along with familiarity with other AWS services.

Knowledge of, and preferably working experience with, Snaplogic is advantageous. You should be well-versed in data analysis, dimensional modeling, data warehousing concepts, and the Software Development Life Cycle (SDLC). Understanding of Configuration/Release Management processes is also important. You must have hands-on experience with Dynamic SQL, creating packages, procedures, and functions, and be proficient in writing complex queries.

A solid understanding of RDBMS concepts, preferably with Oracle and Snowflake, is required. Experience in Agile Delivery methodologies is also a key requirement. Preferred qualifications include a B.Tech or BE degree in Computer Science or Information Technology. This position may involve travel to client locations.