Exp - 4-8 yrs

Work Mode - Remote

Key Responsibilities

- Build data ingestion connectors for structured, unstructured, licensed and open-source datasets.
- Develop reliable data pipelines with data contracts, schema validation, data-quality checks, error handling and quarantine mechanisms.
- Design point-in-time data storage using Delta Lake, Parquet and object storage, ensuring historical revisions and publication timestamps are preserved.
- Implement historical data retrieval, as-of reads, data lineage and reproducible datasets without future-data leakage.
- Develop reference data and identity-resolution systems across multiple data sources.
- Own the graph data layer, including property-graph modelling, ontology-driven schema generation and schema-as-code.
- Build, deploy and operate production Neo4j databases, including data loading, Cypher query optimisation, indexing and performance monitoring.
- Generate deterministic graph projections for historical dates and integrate graph features with downstream data and ML workflows.
- Build and maintain cloud infrastructure, containerised jobs, orchestration workflows, CI/CD pipelines, monitoring and automated testing.




- Use AI coding agents to accelerate development while maintaining code quality, testing, documentation and engineering standards.

Mandatory Skills

- Solid hands-on experience in Python and SQL.
- Experience with data engineering, ETL/ELT pipelines, data contracts, schema evolution and data-quality validation.
- Practical understanding of point-in-time data, historical snapshots, publication lags, data revisions and reproducibility.
- Production experience with Neo4j and Cypher, including graph modelling, data ingestion, query optimisation and managed database operations.
- Experience with Pandas, Polars or DuckDB.
- Familiarity with PostgreSQL, Parquet/Delta Lake and object storage.
- Experience with Docker, Terraform, GitHub Actions or equivalent CI/CD tools.
- Hands-on experience with at least one major cloud platform; GCP is preferred.
- Experience with Dagster, Airflow or similar workflow orchestration tools.
- Familiarity with MLflow, logging, monitoring, secrets management and automated testing.
- Practical experience using AI coding agents such as Claude Code, Codex CLI, Cursor or equivalent tools in daily development workflows.

📌 Platform Engineer - Neo4j, Cypher & Python with IT Company - Remote (Pune)
🏢 Seventh Contact Hiring Solutions
📍 Pune