Salesforce Data Engineer

Bytespoke; India; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Bytespoke is seeking an experienced Salesforce Data Engineer to design, develop, and support scalable data solutions using Salesforce as source, target, or operational platform. You will build data pipelines, manage data quality, and enable reporting across Snowflake, Power BI, Tableau, and cloud data platforms.

Collaboration with cross-functional teams and ensuring secure, scalable data integrations will be core to success.

Qualifications

• 5+ years in Data Engineering, Salesforce Development, Analytics, or App Development.
• 3+ years hands-on with Salesforce data solutions and integrations.
• Strong experience with Salesforce APIs, Bulk API, Data Loader, Platform Events, and Change Data Capture.
• Strong SQL and programming in Python, Java, or Scala.
• Experience with ETL/ELT tools like AWS Glue, Azure Data Factory, Informatica, Talend, Matillion, dbt, Airflow, or Spark.
• Knowledge of data modeling, data quality, data lineage, metadata, and governance.
• Experience with AWS, Azure, or GCP cloud platforms.
• Knowledge of Snowflake, S3, Azure Data Lake, Synapse, Redshift, or BigQuery.
• Experience with Git, CI/CD, automated testing, and deployment processes.

Responsibilities

• Design and develop data solutions and integrations involving Salesforce and enterprise data platforms.
• Build data pipelines using Salesforce REST, SOAP, Bulk, Composite APIs, Data Loader, Platform Events, and Change Data Capture.
• Develop batch, incremental, near-real-time, and event-driven data pipelines.
• Perform data transformation, cleansing, enrichment, deduplication, reconciliation, and migration.
• Work with Salesforce objects, relationships, external IDs, permissions, and security controls.
• Implement data quality, validation, monitoring, error handling, and reconciliation processes.
• Support reporting and analytics platforms such as Snowflake, Power BI, Tableau, Synapse, Redshift, or BigQuery.
• Implement secure data integrations using OAuth, JWT, certificates, Named Credentials, and External Credentials.
• Support CI/CD, deployment, testing, production releases, and L2/L3 troubleshooting.
• Collaborate with Salesforce architects, developers, QA, DevOps, integration, and data platform teams.

Skills

5+ years data engineering

3+ years Salesforce data solutions

SQL

Python

Java/Scala

data modeling

data quality/governance

CI/CD

Tools

Salesforce APIs

Bulk API

Data Loader

Platform Events

Change Data Capture

Snowflake

Power BI

Tableau

Synapse

Redshift

BigQuery

AWS

Azure

GCP

Git

Airflow

dbt

Spark

Job description

Bytespoke Technology Private Limited 4 days ago

We are seeking an experienced Salesforce Data Engineer to design, develop, and support scalable data solutions using Salesforce as a source, target, or operational platform. The role involves data extraction, ETL/ELT, integrations, data quality, modeling, reporting enablement, and cloud data platforms.

Key Responsibilities

• Design and develop data solutions and integrations involving Salesforce and enterprise data platforms.
• Build data pipelines using Salesforce REST, SOAP, Bulk, Composite APIs, Data Loader, Platform Events, and Change Data Capture.
• Develop batch, incremental, near-real-time, and event-driven data pipelines.
• Perform data transformation, cleansing, enrichment, deduplication, reconciliation, and migration.
• Work with Salesforce standard/custom objects, relationships, external IDs, permissions, and security controls.
• Implement data quality, validation, monitoring, error handling, and reconciliation processes.
• Support reporting and analytics platforms such as Snowflake, Power BI, Tableau, Synapse, Redshift, or BigQuery.
• Implement secure data integrations using OAuth, JWT, certificates, Named Credentials, and External Credentials.
• Support CI/CD, deployment, testing, production releases, and L2/L3 troubleshooting.
• Collaborate with Salesforce architects, developers, QA, DevOps, integration, and data platform teams.

Required Skills

• 5+ years of overall experience in Data Engineering, Salesforce Development, Analytics, or Application Development.
• 3+ years of hands‑on experience with Salesforce data solutions and integrations.
• Strong experience with Salesforce APIs, Bulk API, Data Loader, Platform Events, and Change Data Capture.
• Strong SQL and programming skills in Python, Java, Scala, or equivalent.
• Experience with ETL/ELT tools such as AWS Glue, Azure Data Factory, Informatica, Talend, Matillion, dbt, Airflow, or Spark.
• Good understanding of data modeling, data quality, data lineage, metadata, and governance.
• Experience with at least one cloud platform: AWS, Azure, or GCP.
• Knowledge of Snowflake, S3, Azure Data Lake, Synapse, Redshift, or BigQuery.
• Experience with Git, CI/CD, automated testing, and deployment processes.

Preferred Skills

• Experience with CRM Analytics / Salesforce reporting.
• Experience in cloud-based data platforms and enterprise integrations.
• Strong troubleshooting, documentation, communication, and stakeholder management skills.