Employment Type: Full time
Timing: General
Work Mode: Work from Office
Experience: 4 – 6 Years
Location: Ahmedabad, Gurgaon
Welcome to WhiteBlue!
What Are We?
We are an exclusive cloud services company, transforming the world with digital technology. We excel in serving the customers with the right experienced, certified professional cloud talent. We are passionate about creating world class human capital which has Hands-on Cloud experience to build, migrate and support complex Cloud environments. We are keen in providing tailored services and solutions for each customer. We measure our success based on the business outcomes we deliver.
Who are We?
We are a bunch of passionate software professionals who love to work together and grow together!! We work, create, and inspire each other every day. We are a purpose driven collaborative team. We always want to give our best and we are dedicated towards achieving mutual success. Our corporate culture is unique, and each employee is valued here. We are always ready to walk the extra mile to satisfy our customers. Leveraging our cutting-edge expertise, we provide the best solutions to the clients. We are outcome obsessed and customer centric. We love to walk the talk. At WhiteBlue, we create future for our customers in the areas of Cloud, Data and IoT.
Role and Responsibilities:
- Provide business analytics support to the Management team
- Analyse business results and manage studies to collect relevant data
- Design, build, and maintain data pipelines and ETL processes using Python as part of larger data platform projects
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality.
- Optimize database performance, including indexing, partitioning, and query optimization.
- Implement data governance and security measures to protect sensitive data.
- Monitor data pipelines, troubleshoot issues, and perform data validation.
- Develop and maintain documentation for data processes and workflows.
Skills Required:
- Proficiency in Python for data processing and scripting.
- Strong SQL knowledge and experience with relational databases (e.g., MySQL, PostgreSQL, SQL Server)
- Understanding of data modelling, data warehousing, and data architecture.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
- Proficiency in working with GCP (especially Big Query and GCS).
- Version control skills using Git.
