Senior Data Engineer - Databricks
ndeavour · All Cities ·
- Work mode
- Remote
- Seniority
- Senior
- Category
- Data engineering
- Experience
- 5+ years
- Company size
- 51-200
ndeavour · All Cities ·
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Build and optimize Databricks Lakehouse pipelines on AWS/Azure, set CI/CD standards, and mentor peers while integrating structured and unstructured data with Delta Lake and Unity Catalog.
Mobile Wave Solutions is a professional services company specializing in software development as a service. With a team of over 120 engineers, we deliver scalable, high-quality software that empowers our global clients to innovate and grow. We value collaboration, technical excellence, and a pragmatic approach to solving complex problems.
We are seeking a seasoned, hands-on Senior Data Engineer to serve as the subject matter expert and technical anchor for our next-generation Databricks Lakehouse platform. In this role, you will design and build scalable ingestion pipelines, establish production best practices, set up CI/CD standards, and elevate the team’s technical capabilities.
Our current environment is hosted on AWS, but we welcome strong Databricks experts with background in Azure or other major cloud providers, as your core Lakehouse mastery is what matters most. We need a confident, self-directed engineer with deep production experience across Databricks and Apache Spark who can tackle unstructured data sources, optimize distributed workloads, and drive decisive architectural standards in a fast-paced rebuild environment.
Platform Standards & Best Practices: Lead the architecture, design, and implementation of robust Lakehouse ingestion and transformation pipelines using Databricks and PySpark. Establish standards that level up the broader team's engineering maturity.
CI/CD & Operational Excellence: Set up automated delivery pipelines using Databricks Asset Bundles (DABs) and modern orchestration (Airflow or similar) to ensure seamless, reliable deployments.
Complex Data Integration: Architect pipelines to ingest, process, and structure both structured (OLTP) and unstructured/semi-structured data (APIs, logs, cloud storage streams) into high-quality analytical datasets.
Delta Lake & Governance: Enforce Delta Lake principles (CDC, schema evolution, optimization) and integrate data quality frameworks (e.g., Great Expectations) and Unity Catalog governance into daily development.
AI Agent Direction: Direct and evaluate AI agents for rapid code generation, ensuring generated code meets strict quality, security, and performance standards.
Technical Mentorship & Execution: Clearly articulate complex technical trade-offs to stakeholders, mentor peers, and confidently drive pragmatic solutions without needing step-by-step guidance.
Deep Databricks & Spark Expertise: 5+ years of dedicated data engineering experience with proven, large-scale production exposure to Databricks, PySpark performance tuning, and distributed processing architectures.
Cloud Ecosystem Experience: Strong proficiency in major cloud environments (AWS primary, but candidate expertise in Azure or GCP with Databricks is fully welcomed and transferable).
Advanced CI/CD Knowledge: Hands-on experience implementing enterprise CI/CD for Databricks workflows, specifically utilizing Databricks Asset Bundles (DABs) or equivalent infrastructure-as-code patterns.
Unstructured & Diverse Data Processing: Demonstrated history of turning raw, unstructured, or semi-structured data sources into structured, production-ready Lakehouse layers.
Production Discipline: Expert SQL optimization, deep Python proficiency, and practical experience with workflow orchestrators (Airflow) and quality/governance tooling (Unity Catalog, Great Expectations).
Senior Communication: Concise, direct communicator capable of explaining technical concepts clearly and mentoring team members on best practices.
Pragmatic & Autonomous: Comfortable tackling ambiguous, legacy datasets in a fast-paced rebuild environment; excels at guiding AI-assisted coding tools while enforcing high stability standards.
Remote Office – Flexible hybrid form of working
Parking Space – We provide free parking spots
Fun Office Space – We offer a game zone and a relaxation area
Health Insurance – Additional private health insurance, including a dental care plan
Personal Development – Company-sponsored training budget to further develop your skills
Employee Referral Program – Receive a bonus for referring a friend
Holidays – Enjoy an extra 5 days after your 1st and 5th year
Social Events – We love to celebrate our success together
Family Insurance – Add insurance to a family member
Offering sports cards – 100% sponsored by the company
Vanguard · Hyderabad, India