Data Engineer

Experience: 6+ Years

Work Hours: 1:00 to 10:00 pm IST

Duration: 6 months (Extension possible)

Overall, they need to know:

Amazon Neptune

Vector DB like OpenSearch and RAG patterns,

Knowledge of Strands Agents, Ontology design and knowledge representation

Glue Catalog, S3 Tables, Apache Iceberg format

TTL files and Databricks familiarity is good

Python and data engineering skills

LLM application development (Amazon Bedrock, prompt engineering, RAG patterns),

Knowledge graph integration — graph-augmented generation, subgraph retrieval for context injection, Python/TypeScript development for AI pipelines (LangChain, LlamaIndex, or equivalent),

Text2SQL experience

Skills: expertise in ontology design and knowledge representation (RDF, OWL, SKOS, taxonomy modeling) along with strong graph database skills (Neptune or Neo4j) for modeling rule entities, dependencies, and lineage. Python and data engineering skills

Optional Data Engineer skills

Ingestion from enterprise and vendor sources — APIs, flat files, SFTP drops, CDC,



batch and incremental loads

Pipeline orchestration — Airflow, Glue, Step Functions; dependency management, retries, backfills, idempotent reruns

Transformation at engineering standard — dbt or equivalent, modular SQL, tested and version-controlled

Solid SQL and Python; performance tuning on large tables

AWS data stack — S3, Glue Catalog, Athena, Redshift, Iceberg/Parquet, partitioning and file-layout decisions

Data contracts and schema drift detection on third-party feeds — automated checks, alerting, quarantine of bad loads

Data quality engineering — Great Expectations or similar, completeness/freshness/conformance checks as pipeline gates

Prepares data for agent consumption — chunking and embedding pipelines, vector store loading, metadata and catalog design so retrieval has something to point at

Pay: ₹90,000.00 - ₹110,000.00 per month

Work Location: Remote

📌 Senior Data Engineer (India)
🏢 Shreem Talent Bridge
📍 India