SENIOR ENGINEER - DATA ANALYTICS

Person at this position has gained significant work experience to be able to apply their knowledge effectively and deliver results. Person at this position is also able to demonstrate the ability to analyse and interpret complex problems and improve change or adapt existing methods to solve the problem.
Person at this position regularly interacts with interfacing groups / customer on technical issue clarification and resolves the issues. Also participates actively in important project/ work related activities and contributes towards identifying important issues and risks. Reaches out for guidance and advice to ensure high quality of deliverables.
Person at this position consistently seek opportunities to enhance their existing skills, acquire more complex skills and work towards enhancing their proficiency level in their field of specialisation.
Works under limited supervision of Team Lead/ Project Manager.

Responsible for design, coding, testing, bug fixing, documentation and technical support in the assigned area. Responsible for on time delivery while adhering to quality and productivity goals. Responsible for adhering to guidelines and checklists for all deliverable reviews, sending status report to team lead and following relevant organizational processes. Responsible for customer collaboration and interactions and support to customer queries. Expected to enhance technical capabilities by attending trainings, self-study and periodic technical assessments. Expected to participate in technical initiatives related to project and organization and deliver training as per plan and quality.

Engineering graduate, MCA, etc Experience: 2-5 years

Data engineering TCB is applicable to one who 1) Creates databases and storage for relational and non-relational data sources 2) Develops data pipelines (ETL/ ELT) to clean , transform and merge data sources into usable format 3) Creates reporting layer with pre-packaged scheduled reports , Dashboards and Charts for self-service BI 4) Has experience on cloud platforms such as AWS, Azure , GCP in implementing data workflows 5) Experience with tools like MongoDB, Hive, Hbase, Spark, Tableau, PowerBI, Python, Scala, SQL, ElasticSearch etc.

Platforms-
AWS, Azure , GCP

Technology Standard-
NA

Tools-
MongoDB, Hive, Hbase, Tableau, PowerBI, ElasticSearch, Qlikview

Languages-
Python, R, Spark,Scala, SQL

Specialization-
DWH, BIG DATA ENGINEERING, EDGE ANALYTICS