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Position Name: Data Engineer and Lead
Location: Chennai & Bangalore
Experience: 12 years
About BinQle
BinQle is a global delivery and execution partner supporting enterprises across the US, India, Singapore, and Australia. We specialize in structured hiring, managed teams, and long-term delivery support.
Role Summary:
Own and design enterprise data architecture, metadata strategy, governance framework, and lineage architecture for Prism™. Lead a team of engineers with a focus on hands-on coding and code reviews. Develop foundational ontology and mapping architectures for contextual intelligence and rule traceability.
What You'll Do:
• Define and design domain-driven data and ontology models for Prism™
• Develop metadata, lineage, governance frameworks, and mapping rule architectures
• Lead engineering team, ensure high-quality production-grade code and conduct code reviews
• Design streaming data pipelines and support Kafka-Spark integration
• Implement policy-to-rule lineage, auditability, traceability, and governance analytics
• Support API/interface contract modeling and system registry integration
What We're Looking For (Must-Haves):
• Enterprise data architecture and metadata management
• Data governance, lineage architecture, and MDM/entity resolution
• Ontology, semantic modeling, and graph databases
• Streaming architecture (Kafka/Spark) and cloud-native data engineering
• Ephemeral/persistent storage architectures and modern DevOps/Git workflows
• Vector databases, semantic retrieval, and AI-assisted metadata enrichment
• Execution traceability, contextual intelligence, and domain-driven architecture
• Coding skills and ability to lead engineering teams
Good to Have (Optional – only if mentioned):
• Experience in banking or regulated industries
• Exposure to governance and metadata platforms
• Product/platform engineering experience
Job ID: 149066385
Skills:
Cloud, Big Data, Data Governance, AWS, Architecture
Skills:
Java, Hadoop, Pyspark, Scala, Etl Development, Data Warehousing, Data Modeling, Sql, Google Cloud, Big Data Technologies, Hive, Docker, Spark, Azure, Kubernetes, Python, AWS, Airflow, Prefect
Skills:
Machine Learning, PostgreSQL, Hipaa, Informatica, ELT, Apache Airflow, Talend, AWS, Hadoop, Sql, Spark Streaming, Hive, Gcp, Hl7, Apache Kafka, Spark, MongoDB, Azure, Etl, Airflow, Flink, FHIR, Ai, dbt
Skills:
Data Warehousing, Sql, Etl Development, Big Data Technologies, Data Modeling, Java, Hadoop, Pyspark, Google Cloud, AWS, Hive, Python, Kubernetes, Azure, Docker, Scala, Spark, Airflow, Prefect
Skills:
Pyspark, Java, Aws Redshift, AWS Glue, Data Warehousing, Data Architecture, Numpy, Pandas, Azure Synapse Analytics, Spark, Databricks, Data Modelling, Python, Airflow, Google BigQuery, Data integration tools, dbt, ETL processes, Dask, Delta Lake, Data pipeline orchestration
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