Job Description

Job description as below:

Key Responsibilities: Solid understanding of GCP ETL framework.

Solid knowledge about develop robust, scalable, reusable and efficient ETL Solid knowledge about Data lake and Datawarehouse concepts.

Strong Hands-on knowledge about Bigquery SQL and Pyspark/Python Solid knowledge about Bigquery architecture and different data types and other GCP services(Mainly Dataproc, dataflow, Fusion, Cloud Composer, pub sub, Cloud Function, kubernetes).

Hands on knowledge about jenkins and git repository process will add extra advantages.

DBT tool and solutioning skills are added advantages.

Having Banking Domain knowledge is added advantage.

Must be a Good team player and Proactive with good communication skill.

Certification in GCP will add more value.

͏

Do

1. Managing the technical scope of the project in line with the requirements at all stages

a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends

b. Develop record management process and policies

c. Build and maintain relationships at all levels within the client base and understand their requirements.

d. Providing sales data, proposals, data insights and account reviews to the client base

e. Identify areas to increase efficiency and automation of processes

f. Set up and maintain automated data processes

g. Identify, evaluate and implement external services and tools to support data validation and cleansing.

h. Produce and track key performance indicators

1. Analyze the data sets and provide adequate information

a. Liaise with internal and external clients to fully understand data content

b. Design and carry out surveys and analyze survey data as per the customer requirement

c. Analyze and interpret complex data sets relating to customer’s business and prepare reports for internal and external audiences using business analytics reporting tools

d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking

e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool

f. Develop predictive models and share insights with the clients as per their requirement

͏

Deliver

		No
		Performance Parameter
		Measure

		1.
		Analyses data sets and provide relevant information to the client
		No. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy

͏

͏