Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own We have a flexible work environment and fluid career paths We not only encourage but celebrate internal mobility We also recognize the importance of purpose well-being and work-life balance Within Empower and our communities we work hard to create a welcoming and inclusive environment and our associates dedicate thousands of hours to volunteering for causes that matter most to them Chart your own path and grow your career while helping more customers achieve financial freedom Empower Yourself The Senior ETL Data Engineer is a seasoned hands-on engineer responsible for designing and implementing complex backend data pipelines and ETL solutions This role leads technical delivery for key components provides guidance to other engineers and helps shape the data architecture on AWS The senior engineer is a key contributor to the reliability scalability and performance of data platforms that support analytics reporting and downstream applications What you will do Lead the design development and enhancement of ETL pipelines and backend data workflows using Python and SQL Design and optimize large-scale data processing solutions on AWS using services such as Glue EMR Lambda and S3 Lead the implementation and improvement of CI CD pipelines to automate build test and deployment for data and application code Collaborate with architects product owners and business partners to refine requirements and translate them into scalable secure data solutions that follow approved architecture patterns Write high quality maintainable and well-tested code and set a strong example for coding and design practices Investigate and resolve complex technical issues data quality problems and performance bottlenecks across environments Participate in and often lead code reviews helping to maintain high standards for code quality testing and documentation Mentor junior and mid-level engineers through pairing feedback and knowledge sharing Contribute to the evolution of data and application architecture development processes and engineering best practices Collaborate with cross-functional teams to debug improve and support data products and services in production Continuously learn and adopt modern technologies tools and development practices relevant to data engineering and cloud platforms What you will bring Bachelor s degree in Computer Science or related field or equivalent practical experience 4 years of experience in software development with substantial experience in backend or data engineering Strong proficiency in Python for backend development and data processing Solid proficiency in SQL including performance tuning and working with large or complex datasets Hands-on experience with AWS services ideally including Glue EMR Lambda and S3 and Kafka topics Demonstrated experience designing and maintaining CI CD pipelines and related tooling Deep understanding of software architecture and design principles for data-intensive systems Strong problem-solving debugging and analytical skills with a track record of resolving complex issues Proven experience providing technical leadership on features or projects and influencing technical decisions within a team Experience working in Agile or iterative delivery environments What will set you apart Experience with Java or JavaScript is a plus but not required This job description is not intended to be an exhaustive list of all duties responsibilities and qualifications of the job The employer has the right to revise this job description at any time You will be evaluated in part based on your performance of the responsibilities and or tasks listed in this job description You may be required perform other duties that are not included on this job description The job description is not a contract for employment and either you or the employer may terminate employment at any time for any reason as per terms and conditions of your employment contract We are an equal opportunity employer with a commitment to diversity All individuals regardless of personal characteristics are encouraged to apply All qualified applicants will receive consideration for employment without regard to age race color national origin ancestry sex sexual orientation gender gender identity gender expression marital status pregnancy religion physical or mental disability military or veteran status genetic information or any other status protected by applicable state or local law

📌 Senior Etl Data Engineer (Karnataka)
🏢 Empower
📍 Karnataka