Empower
Empower
Empower ir finanšu pakalpojumu un finanšu tehnoloģiju uzņēmums, kas palīdz cilvēkiem un organizācijām stiprināt finansiālo pārliecību. Uzņēmuma piedāvājumā ietilpst pensiju plānošana, ieguldījumu pārvaldība, personalizētas finanšu konsultācijas un digitālie rīki, piemēram, Empower Personal Dashboard™, kas apkopo finanšu informāciju vienā skatā. Empower apkalpo vairāk nekā 19 miljonus amerikāņu, tostarp individuālos investorus, darba vietu pensiju plānu dalībniekus, plānu sponsorus un finanšu profesionāļus. Uzņēmums pievērš uzmanību arī daudzveidībai, vienlīdzībai un iekļaušanai, kā arī kopienām vērstām iniciatīvām.

Senior Data Engineer at Empower Remote India

Build reliable, scalable data solutions that turn financial-services data into actionable analytics for business stakeholders. Work with AWS, Python, ETL pipelines, and modern data platforms.

Apraksts

  • Convert data from multiple systems into insights and analytics for business stakeholders
  • Use cloud infrastructure to deliver scalable, resilient, and efficient technology solutions
  • Partner with data engineers, analysts, scientists, DBAs, cross-functional teams, and business stakeholders
  • Architect, build, deploy, and operate data engineering solutions within an Agile framework
  • Enable better business decisions through dependable data engineering solutions
  • Contribute across the software development lifecycle from design through deployment
  • Apply full data-lifecycle knowledge across applications, machine learning, business analytics, and reporting
  • Lead and take ownership of assigned technical projects
  • Improve the quality, efficiency, and scalability of data pipelines continuously
  • Handle additional responsibilities as needed

Prasības

  • Bachelor of Science in Computer Science or an equivalent qualification
  • At least seven years of professional experience after completing a degree
  • More than four years of experience building and maintaining ETL pipelines
  • At least three years of Python development experience
  • Experience integrating AWS services such as Kinesis, Firehose, Aurora Unload, Redshift, Spectrum, Elastic MapReduce, SageMaker, and Lambda
  • Experience mentoring junior engineers through code reviews and promoting engineering best practices
  • Strong understanding of test-case design for data quality, reliability, and confidence
  • Demonstrated success introducing technologies that improve data quality and reliability
  • Expertise in SQL performance tuning, indexes, and materialized views
  • Advanced knowledge of OLTP and OLAP environments
  • Proficiency designing and operating NoSQL databases for big-data storage and retrieval
  • Experience integrating APIs with external vendors
  • Familiarity with data orchestration pipelines using Argo or Airflow
  • Knowledge of analytical tools including R, Tableau, Plotly, and Python Pandas
  • Experience in financial services is a plus

Priekšrocības

  • Flexible working environment
  • Flexible career development paths
  • Opportunities for internal mobility
  • Support for purpose, well-being, and work-life balance
  • Welcoming and inclusive workplace
  • Opportunities to volunteer

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