Data Engineer

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