Job description
Roles and Responsibilities:
Interacting with the client (internal or external) to understand their problems and work on solutions that address their needs
Driving projects and working closely with a team of individuals to ensure proper requirements are identified, useful user stories are created, and work is planned logically and efficiently to deliver solutions that support changing business requirements
Managing the various activities within the team, strategizing how to approach tasks, creating timelines and goals, distributing information/tasks to the various team members
Conducting meetings, documenting, and communicating findings effectively to clients, management and cross-functional teams
Creating Ad-hoc reports for multiple internal requests across departments
Automating the process using data transformation tools
Prerequisites :
Strong analytical, problem-solving, interpersonal, and communication skills
Advanced knowledge of DBMS, Data Modelling along with advanced querying capabilities using SQL
Working experience in cloud technologies (GCP/ AWS/Azure/Snowflake)
Prior experience in building and deploying ETL/ELT pipelines using CI/CD, and orchestration tools such as Apache Airflow, GCP workflows, etc.
Proficiency in Python for building ETL/ELT processes and data modeling
Proficiency in Reporting and Dashboards creation using Power BI/Tableau
Knowledge in building ML models and leveraging Gen AI for modern architectures.
Experience working with version control platforms like GitHub
Familiarity with IaC tools like Terraform and Ansible is good to have
Stakeholder Management and client communication experience would be preferred
Experience in the Financial Services domain will be an added plus
Experience in Machine Learning tools and techniques will be good to have
Experience
3-7 years
Education
BTech/MTech/BE/ME/MBA in Analytics
Compensation
The compensation structure will be as per industry standard