Application Development Consultant at Goodyear Tire & Rubber

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, TechnologyIndustries

Requirements

4+ years hands-on experience in data engineering, CDP, or customer-data platforms; experience with Salesforce Data Cloud preferred
Proven track record building ingestion pipelines, identity resolution, and segment models
Experience integrating Salesforce with Snowflake, S3, APIs, streaming platforms (Kafka/Kinesis) and ETL/ELT tooling
In-depth knowledge of Salesforce architecture flows, Service Cloud, CRM, Data Cloud
Deep SQL skills and knowledge of data modeling (event and profile models)
Strong with data pipeline tooling and orchestration (e.g., Airflow, dbt, Mulesoft); familiarity with Snowflake/BigQuery preferred

Responsibilities

Data Architecture & Ingestion — Design and operate Data Cloud data models, ingest pipelines, and real-time streaming for customer, vehicle, product, and telematics data. Own connectors (Salesforce sources, Snowflake, S3, APIs), transformation logic, identity resolution rules, and orchestration to deliver production-ready datasets. Ensure lineage, observability, and SLAs for data delivery
Identity Resolution & Data Governance — Implement and tune identity stitching/resolution to create trusted, unified profiles. Apply data governance, PII masking, retention policies, and role-based access so data is compliant and usable across Sales, Service, and Marketing
Analytics, Segments & AI Enablement — Build customer/vehicle segments, event models, and data views that power dashboards, Einstein models, and AI use cases (predictive maintenance, propensity models, real-time offers). Partner with analytics and AI teams to productionize models and monitor model drift
Integration & Automation (DataOps) — Implement CI/CD for data pipelines, automate deployments of mappings and ingest jobs, and manage pipeline retry/reconciliation strategies. Collaborate with platform engineering on secure, scalable environments (Snowflake, Kafka, Mulesoft or equivalent)
Stakeholder Enablement & Continuous Improvement — Lead workshops with business stakeholders to translate business outcomes into Data Cloud solutions. Produce clear documentation, runbooks, and training; sponsor pilots and POCs to advance data-driven products

Skills

Key technologies and capabilities for this role

Salesforce Data CloudData ArchitectureIngestion PipelinesReal-time StreamingSnowflakeS3APIsIdentity ResolutionData GovernancePII MaskingKafkaKinesisETLELTCI/CDDataOpsMulesoftEinstein Models

Questions & Answers

Common questions about this position

What experience is required for this Application Development Consultant role?

Candidates need 4+ years of hands-on experience in data engineering, CDP, or customer-data platforms, with Salesforce Data Cloud preferred, plus proven track record in building ingestion pipelines, identity resolution, and segment models.

What technical skills are essential for this position?

Key skills include experience integrating Salesforce with Snowflake, S3, APIs, and streaming platforms like Kafka/Kinesis; deep SQL and data modeling knowledge; and strong proficiency with data pipeline tooling like Airflow, dbt, or Mulesoft.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this Application Development Consultant position?

A strong candidate has 4+ years in data engineering or CDPs with Salesforce Data Cloud experience, expertise in ingestion pipelines, identity resolution, integrations with Snowflake/S3/Kafka, deep SQL skills, and data pipeline orchestration tools like Airflow or dbt.