Data Engineer
Job Description
Participate in requirements definition, analysis and the design of logical and physical data models for SAP and non SAP Data marts
Leading data discovery discussions with Business in JAD sessions and map the business requirements to logical and physical data modelling solutions.
Conduct data model reviews with project team members
Gather technical metadata through data modelling tools
Responsibilities Duties:
Ensure database designs efficiently support BI and end user requirements
Drive continual improvement and enhancement of existing systems.
Collaborate with ETL/Data Engineering teams to create data process pipelines for data ingestion and transformation.
Collaborate with Data Architects for data model management, documentation, and version control.
Maintain expertise and proficiency in the various application areas
Maintain current knowledge of industry trends and standards
Key Skills:
Strong experience in building SAP and non SAP Data Analytics solutions
Proficient in Data modelling, data analysis and data profiling
Strong Conceptual, Logical and Physical data modelling for Cloud Data warehouse
Hands on experience working with any of the following data platforms like Redshift, Databricks, Big query, Synapse & snowflake.
Exposure to tools like Databricks Spark, Delta Technologies, Informatica ETL or other industry leading tools
Good experience with AWS Redshift, Athena, Glue.
Solid Expertise on AWS Cloud technologies, mainly on the services of VPC, EC2, S3, DMS and Glue.
Excellent verbal and written communication skill including the ability to describe complex technical concepts in relatable terms.
Ability to lead and prioritize multiple workstreams and confidence in making decisions about how to prioritize work efforts.
Experiance Qualifications:
Bachelor’s degree in computer science, Engineering, or relevant fields with 10+ years of experience as a Data and Solution Architect supporting Enterprise Data and Integration Applications or similar role for large scale enterprise solutions.
8+ years of experience with Data Modeling in finance, commercial, supply chains, procurement, Customer analytics
3+ years of experience in Data Transformation/ETL tools and technologies, and related concepts such as data catalog
5+ years of experience in Big Data Infrastructure and tuning experience in Lakehouse Data Ecosystem including Data Lake, Data Warehouses, and Graph DB
AWS Solutions Architect Professional Level certifications
Extensive experience in data analysis on critical enterprise systems like SAP, SFDC etcepts and procedures.
Benefits:
Training, health, insurance, commuting support, lunch service etc.