As a Senior Data Engineer, your background will look like:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
5+ years of experience in data engineering or software development, with a proven record of maintaining production-grade pipelines.
Proficient in Python and SQL for data transformation and analytics.
Strong expertise in Apache Spark, including data lake management, ACID transactions, schema enforcement/evolution, and time travel.
In-depth knowledge of AWS services-especially S3, EMR, Lambda, and EKS-with a solid grasp of cloud architecture and security best practices.
Solid data modeling skills (dimensional, normalized) and an understanding of data warehousing and lakehouse paradigms.
Experience with BI tools like Tableau or Power BI.
Familiar with setting up data quality, monitoring, and observability frameworks.
Excellent communication and collaboration skills, with the ability to thrive in an agile and multicultural team environment.
Experience working on the Databricks Platform
Knowledge of Delta or Apache Iceberg file formats
Passion for Machine Learning and AI; enthusiasm to explore and apply intelligent systems
Benefits
At GoTo, we believe in supporting our employees with a comprehensive range of benefits designed to fit your life-at work and beyond. Here are just some of the benefits and perks you can expect when you join our team:Comprehensive health benefits.Generous paid time off, paid holidays, volunteer time off, and quarterly self-care days and no meeting daysTuition and reading reimbursement programs to support your continuous learning and professional growthThrive Global Wellness Program, confidential Employee Assistance Program (EAP), as well as One to One Wellness CoachingEmployee programs-including Employee Resource Groups (ERGs), GoTo Gives, and our charitable matching program-to amplify your connection and impactGoTo performance bonus program to celebrate your impact and contributionsMonthly remote work stipend to support your home office expensesAt GoTo, you'll findHealth insuranceRemote work optionsFlexible schedulePerformance bonus
Additional Information
Where you'll work:
Bangalore, KA, IN
Engineering at GoTo
We're trailblazers in remote work technology-building powerful, flexible solutions that empower everyone to live their best life, both at work and beyond. With us, you'll have the opportunity to chart new paths and help redefine how the world works. For us, AI isn't just a buzzword; it's a tool we use to deliver real, practical value to our customers and teams. We focus on solving meaningful problems, not just adding features for the sake of using AI. Here, growth takes many forms: you can expand your skills, take on new challenges, lead initiatives, and explore creative ideas. Join a GoTo product team and play a key role in transforming the workplace for millions of users worldwide-your work will truly make a difference.
Where you'll work: India (Remote)
Engineering at GoTo
We're trailblazers in remote work technology-building powerful, flexible solutions that empower everyone to live their best life, both at work and beyond. With us, you'll have the opportunity to chart new paths and help redefine how the world works. For us, AI isn't just a buzzword; it's a tool we use to deliver real, practical value to our customers and teams. We focus on solving meaningful problems, not just adding features for the sake of using AI. Here, growth takes many forms: you can expand your skills, take on new challenges, lead initiatives, and explore creative ideas. Join a GoTo product team and play a key role in transforming the workplace for millions of users worldwide-your work will truly make a difference.
Your Day to Day
As a Senior Data Engineer, you would be:
Design and Develop Pipelines : Build robust, scalable, and efficient ETL/ELT data pipelines to process structured data from diverse sources.
Big Data Processing: Develop and optimize large-scale data workflows using Apache Spark, with strong hands-on experience in building ETL pipelines.
Cloud-Native Data Solutions: Architect and implement data solutions using AWS services such as S3, EMR, Lambda, and EKS.
Data Governance: Manage and govern data using catalogs like Hive or Unity Catalog; ensure strong data lineage, access controls, and metadata management.
Workflow Orchestration: Schedule, monitor, and orchestrate workflows using Apache Airflow or similar tools.
Data Quality & Monitoring: Implement quality checks, logging, monitoring, and alerting to ensure pipeline reliability and visibility.
Cross-Functional Collaboration: Partner with analysts, data scientists, and business stakeholders to deliver high-quality data for applications and enable self-service BI.
Compliance & Security: Uphold best practices in data governance, security, and compliance across the data ecosystem.
Mentorship & Standards: Mentor junior engineers and help evolve engineering practices including CI/CD, testing, and documentation.
Goto · Bangalore, India