Sr Advanced Data Engineer

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Department:

Data Engineering

Job Summary

Description

The Sr Advanced Data Engineer AIReady Data Platforms is responsible for architecting building and optimizing largescale data systems that power Honeywell Aerospaces enterprise data strategy and AIready data layer.

This role plays a critical part in ensuring that the organizations data platforms are scalable governed performant and aligned to AI and advanced analytics use cases. The Sr Advanced Data Engineer partners closely with AI/ML teams data scientists platform teams and business stakeholders to ensure that data is available trusted and productionready to support analytics advanced analytics and AI initiatives in a timely manner.

Responsibilities

Key Responsibilities

Architecture & System Design

Design and own endtoend scalable enterprise data architectures including:
- Data Lake
- Data Mesh
- Medallion (Bronze / Silver / Gold) architectures
Align data architecture decisions with longterm business goals and AI strategy
Select evaluate and standardize the enterprise data technology stack including:
- Cloudnative data services
- Snowflake enterprise data warehouse
- Databricks analytical data lake platforms
Actively participate in AI initiatives ensuring the data layer is AIready and fit for enterprise AI consumption

Pipeline & Infrastructure Development

Build manage and optimize complex ETL / ELT pipelines using tools such as:
- Apache Airflow
- Azure Data Factory
- AWS Glue
- Informatica
Design and implement realtime and nearrealtime data pipelines using:
- Apache Kafka
- Spark Structured Streaming
Establish standardized data ingestion and transformation pipelines across enterprise systems
Ensure highquality timely availability of data for analytics advanced analytics and AI use cases

Performance Tuning & Optimization

Identify and resolve performance bottlenecks in distributed data systems
Optimize query performance processing latency and cloud costs through:
- Partitioning strategies
- Clustering
- Indexing
Work closely with data platform and cloud teams to ensure adoption of latest data technologies and optimizations

Data Governance Quality & Observability

Define and enforce enterprise data quality standards using frameworks such as Great Expectations
Implement and support data governance lineage and observability tools
Ensure compliance with global data regulations (e.g. GDPR CCPA) by implementing:
- Data encryption
- RoleBased Access Control (RBAC)
Maintain strong guardrails for data usage access and quality across the enterprise

Leadership Collaboration & Mentorship

Provide technical leadership and guidance to junior and midlevel data engineers
Conduct code reviews and promote best practices in documentation and data engineering standards
Act as a technical bridge between leadership data scientists AI teams and business stakeholders
Translate business and AI requirements into actionable scalable data solutions

Qualifications

YOU MUST HAVE

Advanced Skill Requirement

Experience & Capabilities

812 years of experience in data engineering or advanced data platform roles
Proven experience designing and operating enterprisescale data platforms
Strong handson experience building AIready governed and automated data layers
Experience working in large global and regulated enterprise environments

Advanced Skill Requirements

Core Languages

Expert proficiency in Python and SQL

Big Data & Analytics Platforms

Deep experience with:
- Snowflake (enterprise data warehouse)
- Databricks (analytical data lake platforms)
Strong understanding of distributed data processing concepts

Cloud Platforms

Handson experience with AWS Azure and/or Google Cloud Platform (GCP) including services such as:
- S3 / ADLS
- BigQuery
- Redshift

Emerging & Advanced Technologies

Familiarity with Vector Databases to support AI and LLM use cases
Experience implementing CI/CD pipelines for data engineering workloads

Education

Bachelors or Masters degree in Engineering Computer Science Information Technology Data Engineering or a related field

Who Will Succeed in This Role

Experienced data engineers who can design build and scale enterprise data platforms
Professionals who ensure the data layer is robust governed automated and AIready
Engineers with strong focus on performance accuracy reliability and compliance
Individuals who can support analytics advanced analytics and AI applications with highquality trusted data

Required Experience:

Senior IC

DescriptionThe Sr Advanced Data Engineer AIReady Data Platforms is responsible for architecting building and optimizing largescale data systems that power Honeywell Aerospaces enterprise data strategy and AIready data layer.This role plays a critical part in ensuring that the organizations data pla...