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Sr Developer Software

🇮🇳 India

Management

Redshift

Python

AWS

Jenkins

Terraform

Finance

Snowflake

GitHub

Machine Learning

Design

Amazon

Devops

SQL

Analyst

Sr Developer Software

from 🇮🇳 India

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.

Role Overview 

As aSr Engineer, you will play a critical role across the full data lifecycle—from business requirements gathering and data modeling to solution architecture, development, deployment, and production support. This is a hands-on technical leadership role requiring deepexpertise in building scalable, cloud-native data platforms usingSnowflake, Amazon Redshift, AWS, and modern data engineering tools. 

 

What You Will Do 

  • Design, develop, and implement scalable batch and real-time data pipelines usingSnowflake,Amazon Redshift, and AWS-native technologies  

  • Lead end-to-end data engineering initiatives including data ingestion, transformation (ETL/ELT), data quality, and data delivery across enterprise platforms  

  • Build andoptimize cloud-native data solutionsleveraging AWS services such asS3, Lambda, Glue, ECS, EMR, IAM, CloudWatch, and related services  

  • Develop andmaintain modern ELT transformation frameworks usingdbt (Data Build Tool) for modular, testable, and scalable data modeling  

  • Collaborate with data architects, analysts, product owners, and business stakeholders to gather requirements and translate them into technical solutions  

  • Drive best practices in data modeling, governance, metadata management, lineage, and performance optimization  

  • Implement observability and monitoring solutions using tools such asDatadog, CloudWatch, and custom alerting frameworks to ensure platform reliability and operational excellence  

  • Lead code reviews,establish engineering standards, and champion CI/CD and DevOps practices for data platforms  

  • Troubleshoot and resolve complex production issues related to data pipelines, orchestration, and warehouse performance  

  • Mentor junior and mid-level engineers, fostering a culture of technical excellence and continuous learning  

  • Evaluate and adopt emerging technologies in cloud, AI/ML, and data engineering to drive innovation across the organization  

  • Enable AI/ML initiatives by building trusted, scalable, and high-quality datasets for advanced analytics and GenAI applications  

  • Partner with cross-functional teams to implement secure, compliant, andhighly available enterprise data solutions  

 

What You Will Bring 

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field  

  • 12+ years of experience in Data Engineering, Data Warehousing, and Software Development  

  • Strongexpertise inSQL andPython with experience building enterprise-scale data solutions  

  • Hands-on experience withSnowflake andAmazon Redshift in large-scale production environments  

  • Strong experience with modern data transformation frameworks such asdbt  

  • Experience with orchestration and workflow tools such asApache Airflow  

  • Hands-on experience with streaming and CDC technologies such asKafka,STRIIM, or similar event-streaming platforms  

  • Experience building and supporting observability frameworks usingDatadog or equivalent monitoring platforms  

  • Strong understanding of dimensional and normalized data modeling techniques  

  • Experience working with AWS cloud services includingS3, Lambda, Glue, IAM, ECS, CloudFormation, and related technologies  

  • Knowledge of CI/CD implementation using tools such as GitHub Actions, Jenkins, Terraform, or similar platforms  

  • Experience with data governance, data quality frameworks, and security best practices  

  • Excellent problem-solving, analytical, and communication skills  

  • Proven ability to lead technical initiatives and mentor engineering teams  

  • Passion for innovation, continuous learning, and adopting modern data engineering practices  

 

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. 

by @maxrusakovic