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- Analyse relevant internally and externally sourced data (raw data) to generate BI and Advanced

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- Analytics datasets based on your stakeholders’ requirements

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- Design data pipelines to curate sourced data into the inhouse data warehouse

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- Design data marts to facilitate dataset consumption out of the inhouse data warehouse by business and IT internal stakeholders

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- Design data model changes that align with the inhouse data warehouse standards

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- Define migration execution activities to move data from existing database solutions to the inhouse data warehouse Engineer

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- Regular housekeeping of raw data and data stored in the inhouse data warehouse

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- Build and maintenance of data pipelines and data platforms

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- Build data solution prototypes

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- Explore ways to enhance data quality and reliability

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- Identify and realize opportunities to acquire better data (raw data)

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- Develop analytical tooling to better support BI and Advanced Data Analytics activities

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- Execute data migration from existing databases to the inhouse data warehouse

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- Promote and champion data engineering standards and best-in-class methodology

/n /n /n Required Skills: /n /n





- Bachelor’s or master’s degree in Computer Science, Information Technology, Engineering or related quantitative discipline from a top tier university.

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- Certified in AWS Data Engineer Specialty or AWS Solution Architect Associate

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- Snowflake SnowPro Core Certification

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- 7+ years of experience in data engineering or relevant working experience in a similar role, preferably in the financial industry

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- Strong understanding or practical experience of at least one common Enterprise Agile Framework e.g., Kanban, SAFe, SCRUM, etc.

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- Robust understanding of ETL, data warehouse and BI(Qlik) and Advanced Data Analytics concepts

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- Deep knowledge of cloud-enabled technologies – AWS RDS and AWS Fargate, etc.

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- Experience with databases and data warehouses - Snowflake, PostgreSQL, MS SQL

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- Strong programming skills with advanced knowledge of Java and/or Python

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- Practical experience with ETL tools such as AWS Glue, etc.

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- Strong critical-thinking, analytical and problem-solving skills

/n

- Excellent communicator with team-oriented approach.

/n

📌 Senior Data Engineer (Mumbai)
🏢 Straive
📍 Mumbai