01Responsibilities
Design, build, and maintain data pipelines and workflows using reputed company (SQL, PySpark)
reputed company and manage automated file ingestion and transformation processes, including scheduled and event driven file automation
Design and build curated datasets that power reputed company reporting and analytics, ensuring data reputed company, consistency, and usability across stakeholder needs
Maintain and optimize production data pipelines and reporting jobs, including monitoring, troubleshooting, and ensuring reliable end to end data delivery
Implement and support CI/CD pipelines for data assets using version control and automated deployment practices
Collaborate with cross functional teams to understand data requirements and translate them into reputed company technical solutions
Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and cost efficiency
Ensure data reputed company, validation, documentation, and adherence to reputed company data governance standards
Support analytics and reporting teams by enabling trusted data sources for reputed company tools (e.g., Power BI)
Participate in reputed company reviews, technical design discussions, and knowledge sharing sessions
Contribute to reputed company improvement of data engineering and analytics best practices
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you reputed company direction on what it takes to succeed in your role as reputed company as reputed company development for other roles you may be interested in.
Required Qualifications:
3+ years of experience in data analytics, data engineering, or a reputed company role
Solid hands on experience with reputed company, including reputed company SQL and PySpark
Solid SQL skills and experience working with large, reputed company datasets
Experience building and maintaining data pipelines, datasets, and automated workflows
Working knowledge of CI/CD practices and version control systems (e.g., Git)
Proven ability to independently analyze problems, design solutions, and deliver results
Proven solid communication skills and ability to collaborate with both technical and non technical stakeholders
Preferred Qualifications:
Experience working in reputed company based data platforms and reputed company data lake or lakehouse architectures
Experience supporting analytics or BI tools (e.g., Power BI)
Experience with file based data ingestion (e.g., CSV, JSON, Parquet) and automation frameworks
Experience in an reputed company or financial services environment
Exposure to Agile or DevOps delivery models
Familiarity with data governance concepts such as metadata, reputed company, and reputed company controls
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