Live opening · Posted 1 day ago

Associate Data

MassMutual India · Hyderabad, Telangana, India (Hybrid)
Linkedin Hybrid
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyMassMutual India
LocationHyderabad, Telangana, India (Hybrid)
Work modeHybrid
SkillsPython, AWS
SourceLinkedin
Listed1 day ago

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About the role

Description supplied by the original job listing.

Design, build, and measure ELT jobs to process disparate data sources and form a high integrity, high quality, clean data asset.
Work closely with tech lead and senior engineers to implement and deliver enterprise data solutions including data strategy, feasibility and longevity of solutions, hands-on solution implementation and BAU support.
Involve in stakeholders conversations to define multi-market data requirements and implement data and BI solutions
Create and maintain data pipelines, integrations, and transformations to ensure efficient data processing, storage, and retrieval. Ensure data infrastructure is scalable, efficient, and aligned with best practices in data management
Extract, organize, and manage data to ensure accessibility for authorized users across the organization
Perform data profiling, validation, and cleansing to maintain data integrity and accuracy.
Perform unit test and conduct reviews with other team members to ensure code is rigorously designed, elegantly coded, and effectively tuned for performance.
Implement internal process improvements with coordination, automate manual processes, debug inefficient pipelines for optimal performance and scalability.
Understand and follow the best practices and proactively seek opportunities to automate and construct tools that streamline operations and enhance overall reliability.
Collaborate with business analysts to understand requirements and use cases, translating them into technical stories and tasks.
3-5 years of experience in Data Warehousing and Business Intelligence roles..
Proficiency in Airflow Orchestration Pipelines, relational database design, data modelling, and data warehousing principles.
Excellent programming skills in SQL, Python etc.
Proficient in Shell scripting and building spark jobs.
Knowledge on AWS services like S3, lambda, EMR, Cloud watch, Step functions.
Knowledge of cloud services, relational database design principles, data warehousing, performance tuning, and optimization techniques.
Experience in performance analysis and tuning to ensure optimal database performance
Ability to analyze the business requirements
Excellent communication skills with the ability to collaborate effectively with technical teams and business stakeholders to gather and refine requirements.
Delivery-focused with a can-do attitude in challenging environments.

Work arrangement
Hybrid

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