Data Engineer - Python

Details JD : - 5 years working experience as a data or software engineer in a fast-paced growing company. - 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. databrick python/Pyspark - Snowflake database concepts - SQL Exposure (Oracle, Mysql.) - Cloud Exposure (AWS/Azure) - Agile Methodology (ref:hirist.tech)

Location: Bangalore, IN

Posted Date: 4/25/2024