Skylo
Technology
SeniorDataEngineer
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“Senior Data Engineer at Skylo. Skills: Data Pipelines, Cloud Data Warehouse/Lakehouse, Data Modeling, Cloud Platforms (GCP/AWS), Python/SQL. Design, build, and operate batch and streaming data pipelines that ingest data from backend systems, network/RAN/core systems, and SaaS tools into a centralized cloud data platform. Model data for analytics and operational use — define schemas, build curated/conformed layers, and maintain data marts that serve reporting, observability, and AI/ML consumers. ”
What You'll Achieve.
Your work directly enables business reporting, network observability, and the AI/ML use cases Skylo is investing in.
Industry & Context.
data modeling; designing data for both analytics and operational consumers; cost-aware design; data quality; observability; lineage; governance practices
This role is located in Bangalore, India where we are onsite 3 days a week in office.
What They're Looking For.
Must Have
5+ years of professional data engineering experience building production data pipelines and platforms. SQL and proficiency in at least one programming language for data work (Python Scala/Java acceptable). Hands-on experience with a cloud data warehouse / lakehouse (BigQuery strongly Snowflake/Redshift/Databricks comparable). Experience with modern data pipeline / orchestration tooling (e.g., Airflow, dbt, Datafloweam, Spark, or equivalent). Solid grounding in data modeling (dimensional / normalized) and designing data for both analytics and operational consumers. Experience operating on a major cloud platform (GCP and/or AWS), including IAM and cost-aware design. Familiarity with data quality, observability, lineage, and governance practices. collaboration skills and comfort working across distributed, multi-timezone teams.
Nice to Have
Experience preparing data for AI/ML workloads and supporting data scientists / ML engineers. Exposure to streaming systems (Pub/Sub, Kafka) and real-time data processing. Infrastructure-as-code (Terraform) and CI/CD for data platforms. Awareness of data privacy and security obligations for sensitive/regulated data.
What You'll Do.
Design, build, and operate batch and streaming data pipelines that ingest data from backend systems, network/RAN/core systems, and SaaS tools into a centralized cloud data platform.
Model data for analytics and operational use — define schemas, build curated/conformed layers, and maintain data marts that serve reporting, observability, and AI/ML consumers.
Build and maintain the data warehouse/lakehouse on cloud infrastructure (e.g., BigQuery / GCP, with AWS in the mix), including partitioning, performance tuning, and cost optimization.
Implement data quality, lineage, and governance — validation, monitoring, alerting on pipeline health, and documentation so downstream teams can trust and find data.
Partner with the AI & Innovation and analytics stakeholders to prepare feature-ready datasets and reliable data access for AI/ML initiatives across the enterprise.
Embed security and privacy into data systems — appropriate access controls (IAM), handling of sensitive subscriber and billing data, and compliance with relevant data-protection requirements.
Collaborate across the India, Finland, and US teams (OSSSS, Cloud Infra, Network Operations, business stakeholders) to translate requirements into scalable, maintainable data solutions.
Establish engineering best practices — CI/CD for data, infrastructure-as-code, testing, and code review — and mentor more junior engineers as the function scales.
How You'll Work.
Team & Collaboration
Collaborate across the India, Finland, and US teams (OSSSS, Cloud Infra, Network Operations, business stakeholders) to translate requirements into scalable, maintainable data solutions. Establish engineering best practices — CI/CD for data, infrastructure-as-code, testing, and code review — and mentor more junior engineers as the function scales.
Full Job Description
The world still has coverage blind spots. You could help eliminate them at Skylo. Skylo has pioneered a standards-based approach to satellite connectivity. We connect smartphones and IoT devices directly to satellites. No special hardware, no entirely new networks. Just billions of existing devices, suddenly reachable anywhere on Earth. We're not building toward this future. We're already in it. Our direct-to-device service is live on millions of activated devices across five continents, covering more than 72 million square kilometers, in partnership with leading satellite operators, mobile network operators, Tier-1 chipset makers, and OEMs worldwide. And we're just getting started. At the heart of it all is Skylo's commercial NTN vRAN: a 3GPP standards-based, cloud-native platform that seamlessly bridges terrestrial and satellite networks. It's the infrastructure that makes true anywhere, anytime connectivity possible. When you join Skylo, you'll work at the intersection of three markets reshaping how the world stays connected: mass-market consumer devices, automotive, and industrial IoT. Enabling people outdoors and critical workflows in the world's most remote places. This is a rare chance to work on technology that matters, at a company that's already proving it works About Skylo Skylo is a global Non-Terrestrial Network (NTN) service provider headquartered in Mountain View, CA. We offer a groundbreaking service that enables standard cellular and IoT devices to connect directly over existing satellites. Our direct-to-device service is live and provides coverage across five continents, partnering with multiple satellite and mobile network operators (MNOs), Tier-1 chipset makers, and OEMs. The devices are managed by Skylo's commercial NTN vRAN, which features a 3GPP standards-based cloud-native base station and core. Our mission is to provide seamless, anywhere, anytime connectivity that roams between terrestrial and satellite networks. We focus on enabl
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