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Data Engineer
5 months ago
At Baazi Games, we collaborate in an environment that offers a surplus of freedom to think out of- the the-box and take ownership of opportunities. Just like our games, we are bold and out there in our thinking. Be it boardroom meetings, coffee breaks with colleagues or a game at the TT table, partnership and teamwork are always by our side. For us, there are no Monday blues or fantastic Fridays. Each day at Baazi Games, we welcome an enthusiastic team that is turbocharged for high performance. We are constantly in power-up mode and chase our goals untamed and unabashed.
We started our journey with the sole purpose of giving our audience a sports experience that is world-class in every sense. Everything since then has been about our users. Their needs and expectations sit at the centre of our thoughts and actions.
BAAZI GAMES Main Platforms
- PokerBaazi.com
- SportsBaazi.com
- CardBaazi.com
What you will do:
- Design, build and own all the components of a high-volume data warehouse end to end.
- Build efficient data models using industry best practices and metadata for ad hoc and pre-built reporting.
- Interface with business customers, gathering requirements and delivering complete data & reporting solutions owning the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
- Interface with other technology teams to extract, transform, and load (ETL) data from a wide variety of data sources.
- Own the functional and non-functional scaling of software systems in your own area.
- Provides input and recommendations on technical issues to BI Engineers, Business & Data Analysts, and Data Scientists
What are we looking for:
- 2+ years of experience in data engineering/business intelligence space
- Strong understanding of ETL concepts and experience building them with large-scale, complex datasets using the traditional or map-reduce batch mechanism.
- Strong data modelling skills with solid knowledge of various industry standards such as dimensional modelling, star schemas, etc
- Extremely proficient in writing performant SQL working with large data volumes
- Experience designing and operating very large Data Warehouses
- Experience with scripting for automation (e.g., UNIX Shell scripting, Python, Perl, Ruby).
- Good to have experience working on the AWS stack
- Clear thinker with superb problem-solving skills to prioritize and stay focused on big needle movers
- Curious, self-motivated & a self-starter with a ‘can-do attitude’. Comfortable working in a fast-paced dynamic environment.
Key Behaviors that we look for
- Must have excellent knowledge of Advanced SQL working with large data sets.
- Must have excellent dimensional modelling skills.
- Good to have experience with AWS technologies including Redshift, RDS, S3, EMR, EML or similar solutions build around Hive/Spark, etc.
- Good to have experience with reporting tools like Tableau, OBIEE, or other BI packages.
