Staff Data Engineer

GoTo

India

Remote

INR 2,000,000 - 3,000,000

Full time

14 days+

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Benefits offered by this job

Comprehensive benefits

Wellness programs

Professional development opportunities

Job summary

A leading remote work technology company in India is seeking a Staff Data Engineer to design and develop robust data pipelines. In this role, you will leverage your expertise in Apache Spark and AWS to create efficient data solutions. We're looking for someone with 8+ years of experience, strong skills in data transformation using Python and SQL, and a collaborative mindset. The position offers opportunities for professional growth and a supportive workplace culture.

Qualifications

8+ years of experience in data engineering or software development.
Proficient in data transformation and analytics using Python and SQL.
Strong expertise in Apache Spark and large-scale data workflows.

Responsibilities

Design and build robust ETL/ELT data pipelines.
Develop and optimize data workflows using Apache Spark.
Architect data solutions using AWS services.

Skills

Python

SQL

Apache Spark

Data Quality

Collaboration

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

AWS

Tableau

Power BI

Job description

Join to apply for the Staff Data Engineer role at GoTo

We’re the trailblazers of remote work technology. We build powerful, flexible work software that empowers everyone to live their best life, at work and beyond. And blaze even more trails along the way. There’s ample room for growth – so you can blaze your own trail here too. When you join a GoTo product team, you’ll take on a key role in this process and see your work be used by millions of users worldwide.

Your Day to Day

As a Staff 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.

What We’re Looking For

As a Staff Data Engineer, your background will look like:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
8+ 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.

Nice to Have

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

At GoTo, authenticity and inclusive culture are key to our thriving workplace, where diverse perspectives drive innovation and growth. Our team of GoGetters is passionate about learning, exploring, and working together to achieve success while staying committed to delivering exceptional experiences for our customers. We take pride in supporting our employees with comprehensive

benefits, wellness programs, and global opportunities for professional and personal development. By maintaining an inclusive environment, we empower our teams to do their best work, make a meaningful impact, and grow their career. Learn more.

Seniority level