Data Engineer - Salesforce

Amazon; Bengaluru; On-site; INR 1,400,000 - 2,400,000; Full time

Job summary

Amazon in Bengaluru is seeking a Salesforce Data Engineer to design scalable data pipelines, enable data movement between Salesforce and enterprise platforms, and optimise ETL/ELT workflows to support analytics.

You will work with cloud-native data solutions, build data models, and ensure data quality, governance, and security across pipelines while collaborating with cross-functional teams.

Qualifications

• 5-10 years of experience in Data Engineering.
• Strong experience with Salesforce data (Sales Cloud and/or Service Cloud).
• Expertise in SQL and programming with Python or Java.
• Hands-on experience with Salesforce APIs, ETL/ELT tools, and cloud platforms (AWS, Azure, or GCP).
• Experience with modern data warehouses such as Snowflake, Databricks, Redshift, BigQuery, or Synapse.
• Familiarity with orchestration tools like Airflow or Azure Data Factory.
• Exposure to CI/CD, Git, and data modelling concepts.

Responsibilities

• Design and develop data pipelines integrating Salesforce with enterprise systems and cloud data platforms.
• Build and optimise ETL/ELT workflows for large-scale data processing.
• Develop data models to support reporting, analytics, and business intelligence.
• Integrate Salesforce using APIs and modern integration frameworks.
• Ensure data quality, governance, security, and performance across data pipelines.
• Collaborate with cross-functional teams to deliver scalable and reliable data solutions.

Skills

SQL

Python/Java

Data modeling

CI/CD

Git

Data quality

Tools

Salesforce APIs

ETL/ELT tools

AWS

Azure

GCP

Snowflake

Databricks

Redshift

BigQuery

Synapse

Airflow

Azure Data Factory

Git (CI/CD)

Job description

We're looking for a Salesforce Data Engineer to build scalable data pipelines and enable seamless data movement between Salesforce and enterprise data platforms. In this role, you'll work on cloud-native data solutions, optimise ETL/ELT workflows, and support analytics by delivering reliable, high-quality data.

Responsibilities

• Design and develop data pipelines integrating Salesforce with enterprise systems and cloud data platforms.
• Build and optimise ETL/ELT workflows for large-scale data processing.
• Develop data models to support reporting, analytics, and business intelligence.
• Integrate Salesforce using APIs and modern integration frameworks.
• Ensure data quality, governance, security, and performance across data pipelines.
• Collaborate with cross-functional teams to deliver scalable and reliable data solutions.

Requirements

• 5-10 years of experience in Data Engineering.
• Strong experience with Salesforce data (Sales Cloud and/or Service Cloud).
• Expertise in SQL and programming with Python or Java.
• Hands-on experience with Salesforce APIs, ETL/ELT tools, and cloud platforms (AWS, Azure, or GCP).
• Experience with modern data warehouses such as Snowflake, Databricks, Redshift, BigQuery, or Synapse.
• Familiarity with orchestration tools like Airflow or Azure Data Factory.
• Exposure to CI/CD, Git, and data modelling concepts.

Good to Have

• Salesforce Data Cloud or Marketing Cloud experience.
• Kafka, dbt, Tableau, or Power BI exposure.
• Salesforce or Cloud certifications.