Senior Data Engineer

As a Data Engineer at Baazi Games, you will be focused on delivering data-driven insights to various functional teams enabling them to make strategic decisions that add value to the top or bottom line of the business.

What you will do

● Design, build and own all the components of a high-volume data hub.

● 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 solutions & reporting.

● Work on 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 area.

● Provides input and recommendations on technical issues to BI Engineers, Business & Data Analysts, and Data Scientists.

What we are looking for

● 4-7 years of experience in data engineering.

● Strong understanding of ETL concepts and experience building them with large-scale, complex datasets using distributed computing technologies.

● 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 Datalakes/Data Warehouses

● Experience with scripting for automation (e.g., UNIX Shell scripting, Python).

● 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 technologies

● Must have excellent knowledge of Advanced SQL working with large data sets.

● Must have knowledge of Apache Spark.

● Should be proficient with any of the following languages: Java/Scala/Python.

● Must have knowledge of working with Apache Airflow or Nifi.

● Should be comfortable with any of the MPP querying engines like Impala, Presto or Athena.

● Good to have experience with AWS technologies including Redshift, RDS, S3, EMR, Glue, Athena etc.