Senior Data Engineer

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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Empower

WebsiteLinkedInAll Job Openings

10,000+ employees

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower is a leading provider of financial services focused on helping individuals and organizations achieve financial freedom through retirement planning and investment management. Serving over 19 million Americans, Empower offers a comprehensive suite of finance-related services, including smart planning and investment advice, and tools like the Empower Personal Dashboard™ for a complete financial view. The company is renowned as a top retirement plan provider and works closely with personal investors, workplace plan savers, plan sponsors, and financial professionals. Empower is also recognized for initiatives in Diversity, Equity, Inclusion, and has a social commitment that bolsters community impact.

📋 Description

• Design, develop, and maintain scalable data and file ingestion frameworks • Collaborate with cross-functional value stream teams, analysts, architects, testers, and business stakeholders to refine data requirements and translate them into technical solutions • Optimize data ingestion frameworks for performance, scalability, and reliability • Implement data governance and data security best practices • Troubleshoot data integrity, application, and performance issues • Participate in code reviews and promote coding standards and engineering best practices • Mentor junior engineers and provide technical guidance on complex projects • Contribute to architecture decisions and technical design discussions • Advise on strategic initiatives to mitigate core data application issues and identify process automation opportunities • Evaluate emerging data engineering technologies and apply appropriate solutions • Collaborate with engineering colleagues to develop and maintain data engineering best practices • Complete other duties as assigned

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Mathematics, Software Engineering, or a related field, or an equivalent combination of training and experience • 4–6 years of data engineering experience, including experience designing and implementing scalable data ingestion frameworks • Proficiency in ETL development and design using Python and PySpark • Experience with Apache Hadoop and Apache Spark • Strong SQL skills and experience with relational database management systems (RDBMS), such as PostgreSQL, Amazon Redshift, or MySQL • Hands-on experience with Amazon Web Services (AWS), including Amazon DynamoDB, Amazon EMR Serverless, and AWS Lambda • Deep understanding of data modeling, ETL processes, data ingestion, and data warehousing concepts • Experience working with Agile methodologies and Scrum processes • Strong written and verbal communication skills, including the ability to explain complex technical concepts to non-technical stakeholders • Strong problem-solving and troubleshooting skills, ability to work independently, and provide technical leadership to junior engineers • Ability to communicate professionally with customers and colleagues and explain highly technical functionality to users • 3+ years of experience in financial services or another highly regulated industry (preferred) • Experience using Jira in an Agile software development environment (preferred) • Knowledge of DevOps practices and CI/CD (preferred) • Experience with Amazon QuickSight (preferred)

🏖️ Benefits

• Flexible work environment • Fluid career paths • Internal mobility opportunities • Purpose, well-being, and work-life balance support • Welcoming and inclusive work environment • Volunteering opportunities