Contract Role:

6+ years working experience as a data or software engineer in a fast-paced growing company preferably with top-tier companies

Is independent and has capability to lead projects with minimal supervision

Excellent SQL and Python knowledge strong hands-on data modeling and data warehousing skills and experience in transformations orchestrated through technologies such as dbt/cloud dataflow would be a plus

Strong experience applying software engineering best practices to analytics (e.g. version control, testing, and CI/CD)

Power-user and expert in building scalable data warehouses and pipelines using some of Cloud tools such as Snowflake, AWS, Google Cloud, Cloud ETL tools such as Databricks (Spark/Azure)

Solid experience with ETL/ELT processes, scheduling tools (e.g. Talend, Airflow) and API management tools

Experienced with customer, marketing and/or web data (e.g. Salesforce, Google Analytics, AdWords, Youtube etc)

Good with data visualization tools and packages (e.g. Looker, Tableau, matplotlib)

Strong attention to details to highlight and address data quality issues

Self- starter , motivated, responsible, innovative and technology-driven individual who performs well both independently and as a team member

A proactive problem solver and have good communication as well as project management skills to relay your findings and solutions across technical and non technical audiences

Bachelor's or Master's degree in Engineering, Math, Statistics, Finance, Economics, or a related field

Passionate about gaming or gaming industry would be a great plus and conversation starter

Key Responsibilities:

Work closely with data users to understand business requirements

You will be actively involved with efforts in designing high-performance, reusable, and scalable data models for our data warehouse to ensure our end-users get consistent and reliable answers when running their own analyses

Write complex yet optimized data transformations in SQL/Python using dbt or similar technology

Continuously discover, transform, test, deploy and document data sources

Apply advanced aggregations and data wrangling techniques such as imputation for predictive analytics

Work with wide range of tech stack at various levels such as Snowflake, dbt, Airflow, Fivetran, AWS, Spark, GCP Env:BigQuery, Cloud Composer, Cloud Dataflow etc

Full Stack Developer

Linux Server Admin

Data Engineer