Junior Engineer

Chennai - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Description

We are the Product Development (PD) Platform Operations team the driving force behind Fords next-generation infrastructure and software solutions. Our mission is to build scalable highly available environments that empower our engineers to design and build the vehicles of the future. We thrive on innovation embracing cutting-edge technologies and methodologies like Infrastructure-as-Code Configuration-as-Code (powered by Ansible) and cloud-native development all while using CI/CD methodologies.

Responsibilities

As a Data Engineer (Elasticsearch Specialist) you will design build and optimize data pipelines that feed into Elasticsearch clusters enabling high-performance search and analytics. You will be responsible for ingestion transformation indexing and query optimization of large-scale data. This role requires a deep understanding of Elasticsearch architecture data modeling and performance tuning along with strong data engineering and automation skills.

Key Responsibilities:

Data Ingestion & Pipelines: Design and implement robust ETL/ELT pipelines to ingest structured semi-structured and unstructured data into Elasticsearch.
Elasticsearch:Manage and optimize Elasticsearch clusters for scalability availability and performance. Configure index settings mappings analyzers and sharding strategies to improve query efficiency.
Data Modeling & Indexing: Develop efficient index designs to support various use cases (search analytics monitoring). Ensure proper use of aggregations filters and full-text search for optimal performance.
Proactive Monitoring: design implement and manage comprehensive monitoring and alerting systems for our platforms with a specific focus on Elastic clusters. This includes defining key metrics thresholds and escalation procedures to proactively identify and address potential issues
Health Check Management:develop and maintain a suite of automated health checks for critical endpoints APIs infrastructure components and network paths ensuring rapid detection of anomalies & service degradations
Collaboration: work closely with development teams to ensure the reliability and scalability of applications that interact with Elastic providing guidance on best practices and performance optimization

Qualifications

Qualifications:

Proven experience managing & operating Elastic Search clusters in a production environment demonstrating a deep understanding of its architecture performance tuning and best practices
Strong scripting or programming skills (e.g. Python Bash Go) for automating tasks developing health checks and integrating monitoring tools
Experience with cloud platforms (e.g. AWS Azure GCP) and familiarity with cloud-native monitoring and logging services
Experience working with a PLM platform such as Siemens Team Center and/or Dassault Systems 3DX
Excellent problem-solving skills a proactive mindset and the ability to remain calm and effective under pressure
Strong communication and collaboration skills with the ability to work effectively across technical and non-technical teams

Requirements:

3 years of experience In Data Engineering and analytics for DevOps or similar role with a strong focus on monitoring observability and incident management
2 years of hands-on experience managing & scaling Elastic Search in production environments. You must have prior experience with Elastic.
Experience with other SRE tools / monitoring tools like Prometheus Grafana ELK stack Dynatrace or similar
Experience with IT applications with manufacturing - Good to have
Experience working within an Agile/DevOps environment is a plus

Required Experience:

Junior IC

DescriptionWe are the Product Development (PD) Platform Operations team the driving force behind Fords next-generation infrastructure and software solutions. Our mission is to build scalable highly available environments that empower our engineers to design and build the vehicles of the future. We t...

Description

Responsibilities

Key Responsibilities:

Data Ingestion & Pipelines: Design and implement robust ETL/ELT pipelines to ingest structured semi-structured and unstructured data into Elasticsearch.
Elasticsearch:Manage and optimize Elasticsearch clusters for scalability availability and performance. Configure index settings mappings analyzers and sharding strategies to improve query efficiency.
Data Modeling & Indexing: Develop efficient index designs to support various use cases (search analytics monitoring). Ensure proper use of aggregations filters and full-text search for optimal performance.
Proactive Monitoring: design implement and manage comprehensive monitoring and alerting systems for our platforms with a specific focus on Elastic clusters. This includes defining key metrics thresholds and escalation procedures to proactively identify and address potential issues
Health Check Management:develop and maintain a suite of automated health checks for critical endpoints APIs infrastructure components and network paths ensuring rapid detection of anomalies & service degradations
Collaboration: work closely with development teams to ensure the reliability and scalability of applications that interact with Elastic providing guidance on best practices and performance optimization

Qualifications

Qualifications:

Proven experience managing & operating Elastic Search clusters in a production environment demonstrating a deep understanding of its architecture performance tuning and best practices
Strong scripting or programming skills (e.g. Python Bash Go) for automating tasks developing health checks and integrating monitoring tools
Experience with cloud platforms (e.g. AWS Azure GCP) and familiarity with cloud-native monitoring and logging services
Experience working with a PLM platform such as Siemens Team Center and/or Dassault Systems 3DX
Excellent problem-solving skills a proactive mindset and the ability to remain calm and effective under pressure
Strong communication and collaboration skills with the ability to work effectively across technical and non-technical teams

Requirements:

3 years of experience In Data Engineering and analytics for DevOps or similar role with a strong focus on monitoring observability and incident management
2 years of hands-on experience managing & scaling Elastic Search in production environments. You must have prior experience with Elastic.
Experience with other SRE tools / monitoring tools like Prometheus Grafana ELK stack Dynatrace or similar
Experience with IT applications with manufacturing - Good to have
Experience working within an Agile/DevOps environment is a plus

Required Experience:

Junior IC

Key Skills

Splunk
System Design
C/C++
FIPS
Go
LabView
PKI
AWS
SolidWorks
Linux
Natural Language Processing
Siem

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