Data Engineer (Spark & Microsoft Azure Cloud) Up $7.5k
Our client is an established US MNC in FMCG
Exciting work opportunities in one of the largest firms
Attractive remuneration package
Skilled in programming language in either Java or Python
Good at SQL and have ability to build complex queries
Strong hands-on development experience in Apache Spark/Hadoop, Hive
Good Hands-on on data services in one of public clouds:
o Aws cloud (glue, Athena, s3, EMR, Kinesis, Redshift, Lambda, API Gateway, CloudFormation)
o Microsoft azure cloud (preferred) (data factory, HDInsight, blob Storage, App functions, API Management, Resource Manager, SqlServer)
Responsible for lifecycle of data , right from the data ingestion from various channels, across data processing layers of Consumer Data Platform and serving to multiple systems and BI tools for analytics and reporting purposes .
Good understanding of end-to-end data processes and flows; design and implementation of data solutions.
Working with multi-functional colleagues in marketing/ IT/external IT vendors to define requirements in an iterative manner, leveraging story boards & prototypes
Contributing towards the development of the relevant solution along with other development team members and vendors (could be either in-house or 3rd party) operating within the prescribed architecture and roadmap of the company
Responsible for leading the development, testing and issue resolution and launch of the product/ releases
Drive adoption of the solution and value realization with the multifunctional colleagues
Transitioning the solution into steady state mode at the right time
Prepare your updated resume (include your current salary package with dull breakdown such as base, incentives, annual wage supplement, etc.) and expected package.
Email your updated resume to firstname.lastname@example.org. All shortlisted candidates will be contacted