▷ [High Salary] Senior Data Engineer

4 weeks ago

Delhi, India Baazi Games Full time

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.

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