Senior Data Engineer

Job highlights

• Preferred Qualifications . Around 6-10 years of experience working on SQL,ETLs Visualization Experience in PySpark (Big data technologies) Expertise in any database writing complex SQL Queries,Stored Procedures,Views,triggers
• Knowledge of any Visualization tool Experience in Big technologies like Hadoop,Hive Experience in Machine learning,NLP

You Will Engage in all aspects of a project, to design the python based solution end-to-end. Successfully translate functional designs into technical solutions using best practices. Create functional and technical specification documents by understanding customer requirements Lead the customer interface for the project on an everyday basis, proactively addressing any issues before they are escalated. Participate in quality reviews and implement quality norms.

Ensure the project complies with Software Quality Processes and is adhering to the defined timelines. Accountable for ensuring the business and technical architecture of the delivered solution matches customer technical and functional requirements, and commits to Customer Success (realization of business benefit)

Preferred Qualifications

Around 6-10 years of experience working on SQL, ETLs Visualization Experience in PySpark (Big data technologies) Expertise in any database writing complex SQL Queries, Stored Procedures, Views, triggers. Experience in Cloud technologies like Azure, AWS, GCP Experience in DevOps, CI / CD pipelines Qualified candidates must also have a superior aptitude for analytical concepts, oral and written communication skills, teamwork abilities, integrity.

Good To Have:

Knowledge of any Visualization tool Experience in Big technologies like Hadoop, Hive Experience in Machine learning, NLP