We are seeking a Sr. Data Engineer within our dynamic Data Solutions team. This role is pivotal in bridging the gap between teams, delivering innovative data solutions that empower informed decision-making and drive strategic initiatives. Focus on rigorous QA, effective tools, and optimized processes to enhance data quality across projects.

Your Role Responsibilities and Duties :

- 7+ 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.

Required Skills and Qualifications :

- Bachelors 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.

What we Offer :

- Bootstrapped and financially stable with high pre-money evaluation.

- Above industry renumerations.

- Additional compensation tied to Renewal and Pilot Project Execution.

- Additional lucrative business development compensation.

- Firm building opportunities that offer stage for holistic professional development, growth, and branding.
Empathetic, excellence and result driven organization. Believes in mentoring and growing a team with constant emphasis on learning.