Qureos

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Senior Executive. Data Engineering. L1 - Diversity Candidates Only - LGBTQIA+ & PWD

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This role is ONLY for diversity candidates from the LGBTQIA plus community and PWD candidates. Other candidates please do not apply.

· The role incumbent will be responsible for managing, expanding and optimizing our data pipeline architecture and optimizing data flow and collection for cross functional teams. The incumbent will support our team of data analysts and scientists on data initiatives and will ensure optimal and timely data delivery. Candidate must be self-driven and comfortable supporting the data needs of multiple teams, systems and products. Candidate will play a major role as we work on building a superior and scalable architecture to enable leveraging data to the fullest extent.

· Create and maintain optimal data pipeline architecture.

· Assemble large, complex data sets that meet functional / non-functional business requirements.

· Build and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources

· Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.

· Working knowledge of message queuing, stream processing, and big data data (optional)

· Perform sanity testing, issue reporting and tracking.

· Assist teams in UAT testing and resolve issues as per criticality,

· Handle audit and compliance activities for data platform.

· Track and manage system availability and maintenance tasks.

Qualification & experience

· Years of experience: 3-5 years of experience

. Qualification – Engineering / Certified Data Engineer

Essential skills :

· Experience with data pipeline and workflow management tools.

· Knowledge of AWS cloud services, Data-Lake, Glue / Python/ PySpark/ Kafka/ API/ Change Data Capture, Streaming data, data modelling will be a key advantage.

· Experience with relational SQL and NoSQL databases.

· Exposure to lending systems and domain

Machine Learning skills

Job Types: Full-time, Permanent

Pay: Up to ₹1,400,000.00 per year

Benefits:

  • Health insurance
  • Paid sick time
  • Provident Fund

Work Location: In person

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