Job DescriptionJob Description:
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Analyse relevant internally and externally sourced data (raw data) to generate BI and Advancedn
Analytics datasets based on your stakeholders' requirementsn
Design data pipelines to curate sourced data into the inhouse data warehousen
Design data marts to facilitate dataset consumption out of the inhouse data warehouse by business and IT internal stakeholdersn
Design data model changes that align with the inhouse data warehouse standardsn
Define migration execution activities to move data from existing database solutions to the inhouse data warehouse Engineern
Regular housekeeping of raw data and data stored in the inhouse data warehousen
Build and maintenance of data pipelines and data platformsn
Build data solution prototypesn
Explore ways to enhance data quality and reliabilityn
Identify and realize opportunities to acquire better data (raw data)n
Develop analytical tooling to better support BI and Advanced Data Analytics activitiesn




Execute data migration from existing databases to the inhouse data warehousen
Promote and champion data engineering standards and best-in-class methodologyn

nRequired Skills:
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Bachelor's or master's degree in Computer Science, Information Technology, Engineering or related quantitative discipline from a top tier university.n
Certified in AWS Data Engineer Specialty or AWS Solution Architect Associaten
Snowflake SnowPro Core Certificationn
7+ years of experience in data engineering or relevant working experience in a similar role, preferably in the financial industryn
Robust understanding or practical experience of at least one common Enterprise Agile Framework e.g., Kanban, Secure, SCRUM, etc.n
Robust understanding of ETL, data warehouse and BI(Qlik) and Advanced Data Analytics conceptsn
Deep knowledge of cloud-enabled technologies – AWS RDS and AWS Fargate, etc.n
Experience with databases and data warehouses - Snowflake, P

📌 Senior Data Engineer Maharashtra
🏢 Straive
📍 Maharashtra