Job Title: Sr. Data Engineer Location: NYC, NY Job type: Contract In person interview Mandatory Experience Level: 12+ Years Job Description :- Required Skills: • Proficiency in data engineering programming languages (preferably Python, alternatively Scala or Java) • Proficiency in at least one cluster computing frameworks (preferably Spark, alternatively Flink or Storm) • Proficiency in at least one cloud data Lakehouse platforms (preferably AWS data lake services or Databricks, alternatively Hadoop), at least one relational data stores (Postgres, Oracle or similar) and at least one NOSQL data stores (Cassandra, Dynamo, MongoDB or similar) • Proficiency in at least one scheduling/orchestration tools (preferably Airflow, alternatively AWS Step Functions or similar) • Proficiency with data structures, data serialization formats (JSON, AVRO, Protobuf, or similar), big-data storage formats (Parquet, Iceberg, or similar), data • processing methodologies (batch, micro-batching, and stream), one or more data modelling techniques (Dimensional, Data Vault, Kimball, Inmon, etc.), Agile methodology (develop PI plans and roadmaps), TDD (or BDD) and CI/CD tools (Jenkins, Git,) • Strong organizational, problem-solving, and critical thinking skills; Strong documentation skills Preferred skills: • Experience using AWS Bedrock APIs • Knowledge of Generative AI concepts (such as RAG, Vector embeddings, Model fine tuning, Agentic AI) • Experience in IaC (preferably Terraform, alternatively AWS cloud formation)