Empower
Empower
Empower एक वित्तीय सेवा और फिनटेक कंपनी है, जिसका उद्देश्य लोगों और संगठनों को अधिक वित्तीय आत्मविश्वास विकसित करने में सहायता करना है। इसकी सेवाओं में सेवानिवृत्ति योजना, निवेश प्रबंधन, व्यक्तिगत वित्तीय मार्गदर्शन और Empower Personal Dashboard™ जैसे डिजिटल उपकरण शामिल हैं, जो वित्तीय जानकारी को एक ही स्थान पर दिखाते हैं। 1.9 करोड़ से अधिक अमेरिकियों की सेवा करते हुए, Empower व्यक्तिगत निवेशकों, कार्यस्थल योजना प्रतिभागियों, योजना प्रायोजकों और वित्तीय पेशेवरों के साथ काम करती है। कंपनी समुदाय-केंद्रित पहलों के साथ विविधता, समानता और समावेशन पर भी ज़ोर देती है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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