7,786 Integration jobs in India

Job Description

Location: Bangalore

Role Overview

We are seeking a motivated Data Integration Engineer to join our engineering team. This individual will play a critical role in integrating and transforming large-scale data to power intelligent decision-making systems.

Key Responsibilities

Design, build, and maintain data pipelines and APIs using Python.

Integrate data from various sources including third-party APIs and internal systems.

Work with large, unstructured datasets and transform them into usable formats.

Collaborate with cross-functional teams to define data requirements and deliver timely solutions.

Leverage cloud-based services, especially AWS (EC2, S3), Snowflake / Databricks to scale data infrastructure.

Ensure high performance and responsiveness of applications.

Write clean, maintainable code with a focus on craftsmanship.

Required Skills & Experience

Strong proficiency in Python and data libraries like Pandas.

Experience with web frameworks like Django / FastAPI / Flask.

Hands-on experience with MongoDB or other NoSQL databases.

Proficiency in working with RESTful APIs and JSON.

Familiarity with AWS services: EC2, S3, Snowflake / Databricks.

Solid understanding of data mining, data exploration, and troubleshooting data issues.

Real-world experience with large-scale data systems in cloud environments.

Ability to thrive in a fast-paced, high-growth, deadline-driven setting.

Self-starter with a strong sense of ownership and a passion for problem-solving.

Comfortable working with messy or unstructured data.

Preferred Qualifications

Bachelors or Master's degree in Computer Science.

Exposure to Big Data and Machine Learning technologies is a plus.

Job Description – Senior Data Integration Engineer (Azure Fabric + CRM Integrations)

Location:
Noida

Employment Type:
Full-time

About Crenovent Technologies

Crenovent is building
RevAi Pro
, an enterprise-grade
Revenue Operations SaaS platform
that integrates CRM, billing, contract, and marketing systems with AI agents and Generative AI search. Our vision is to redefine RevOps with AI-driven automation, real-time intelligence, and industry-specific workflows.

We are now hiring a
Senior Data Integration Engineer
to lead the integration of
CRM platforms (Salesforce, Microsoft Dynamics, HubSpot)
into
Azure Fabric
and enable secure, multi-tenant ingestion pipelines for RevAi Pro.

Role Overview

You will be responsible for designing, building, and scaling data pipelines that bring CRM data into
Azure Fabric (OneLake, Data Factory, Synapse-style pipelines)
and transform it into RevAi Pro's
standardized schema (50+ core fields, industry-specific mappings)
.

This is a
hands-on, architecture + build role
where you will work closely with RevOps SMEs, product engineers, and AI teams to ensure seamless data availability, governance, and performance across multi-tenant environments.

Key Responsibilities

1. Data Integration & Pipelines

2. Design and implement
   data ingestion pipelines
   from Salesforce, Dynamics 365, and HubSpot into Azure Fabric.

3. Build
   ETL/ELT workflows
   using Azure Data Factory, Fabric pipelines, and Python/SQL.

4. Ensure
   real-time and batch sync
   options for CRM objects (Leads, Accounts, Opportunities, Forecasts, Contracts).

5. Schema & Mapping

6. Map CRM fields to RevAi Pro's
   standardized schema (50+ fields across industries)
   .

7. Maintain schema consistency across SaaS, Banking, Insurance, and E-commerce use cases.

8. Implement data transformation, validation, and enrichment logic.

9. Data Governance & Security

10. Implement
    multi-tenant isolation
    policies in Fabric (Purview, RBAC, field-level masking).

11. Ensure
    PII compliance, GDPR, SOC2 readiness
    .

12. Build audit logs, lineage tracking, and monitoring dashboards.

13. Performance & Reliability

14. Optimize pipeline performance (latency, refresh frequency, cost efficiency).

15. Implement
    autoscaling, retry logic, error handling
    in pipelines.

16. Work with DevOps to set up CI/CD for Fabric integrations.

17. Collaboration

18. Work with
    RevOps SMEs
    to validate business logic for CRM fields.

19. Partner with AI/ML engineers to expose clean data to agents and GenAI models.
20. Collaborate with frontend/backend developers to provide APIs for RevAi Pro modules.

Required Skills & Experience

• 3+ years
  in Data Engineering / Integration roles.
• Strong expertise in
  Microsoft Azure Fabric
  , including:
• OneLake
  ,
  Data Factory
  ,
  Synapse pipelines
  ,
  Power Query
  .
• Hands-on experience with
  CRM APIs & data models
  : Salesforce, Dynamics 365, HubSpot.
• Strong SQL and Python for data transformations.
• Experience with
  ETL/ELT workflows
  , schema mapping, and multi-tenant SaaS data handling.
• Knowledge of
  data governance tools (Azure Purview, RBAC, PII controls)
  .
• Strong grasp of
  cloud security & compliance (GDPR, SOC2, HIPAA optional)
  .

Preferred (Nice to Have)

• Prior experience building integrations for
  Revenue Operations, Sales, or CRM platforms
  .
• Knowledge of
  middleware
  (MuleSoft, Boomi, Workato, Azure Logic Apps).
• Familiarity with
  AI/ML data pipelines
  .
• Experience with
  multi-cloud integrations (AWS, GCP)
  .
• Understanding of
  business RevOps metrics
  (pipeline, forecast, quota, comp plans).

Soft Skills

• Strong ownership and problem-solving ability.
• Ability to translate business needs (RevOps fields) into technical data pipelines.
• Collaborative mindset with cross-functional teams.
• Comfortable working in a fast-paced
  startup environment
  .

Interested can dm or call me

Job Description Data Integration Engineer

Position: Data Integration Engineer

Experience: 5 8 years

Overview

We are seeking a skilled Data Integration Engineer to lead the integration of client data from

multiple source systems—including QuickBooks, Excel, CSV files, and other legacy

platforms—into Microsoft Access or SQL Server. This role will focus on designing and

automating data pipelines, ensuring data accuracy, consistency, and performance across

systems.

Responsibilities

• Collaborate with Implementation and technical teams to gather data integration

requirements.

• Design and implement automated data pipelines to extract, transform, and load

(ETL) data into Access or SQL databases.

• Analyze and map source data to target schemas, ensuring alignment with business

rules and data quality standards.

• Develop and document data mapping specifications, transformation logic, and

validation procedures.

• Automate data extraction and transformation using tools such as SQL, Python, or

ETL platforms.

• Ensure referential integrity and optimize performance of integrated data systems.
• Validate integrated data against source systems to ensure completeness and

accuracy.

• Support testing and troubleshooting during integration and post-deployment

phases.

• Maintain documentation of integration processes, mappings, and automation

scripts.

Required Skills & Qualifications

• Strong experience with Microsoft Access and/or SQL Server (queries, schema

design, performance tuning).

• Proficiency in data transformation and automation using SQL, Excel, or scripting

languages.

• Experience with ETL processes and data integration best practices.

• Ability to troubleshoot data issues and resolve discrepancies independently.

• Excellent documentation and communication skills.

• Experience with ERP systems and strong data mapping skills are a plus.
• Strong data mapping skills and ability to translate business requirements into

technical specifications.

• Prior experience in automating data workflows and building scalable integration

solutions.

Primary Skills

SQL , Microsoft Access, ETL ADF

• Strong proficiency in Python and data libraries like Pandas.

• Experience with web frameworks like Django, FastAPI, or Flask.

• Hands-on experience with MongoDB or other NoSQL databases

• Proficiency in working with RESTful APIs and JSON.

Role Overview

We are seeking a motivated 
Data Integration Engineer

to join our engineering team. This individual will play a critical role in integrating and transforming large-scale data to power intelligent decision-making systems.

Key Responsibilities

• Design, build, and maintain data pipelines and APIs using Python.
• Integrate data from various sources including third-party APIs and internal systems.
• Work with large, unstructured datasets and transform them into usable formats.
• Collaborate with cross-functional teams to define data requirements and deliver timely solutions.
• Leverage cloud-based services, especially AWS (EC2, S3), Snowflake / Databricks to scale data infrastructure.
• Ensure high performance and responsiveness of applications.
• Write clean, maintainable code with a focus on craftsmanship.

Required Skills & Experience

• Strong proficiency in Python and data libraries like Pandas.
• Experience with web frameworks like Django, FastAPI, or Flask.
• Hands-on experience with MongoDB or other NoSQL databases.
• Proficiency in working with RESTful APIs and JSON.
• Familiarity with AWS services: EC2, S3, Snowflake / Databricks.
• Solid understanding of data mining, data exploration, and troubleshooting data issues.
• Real-world experience with large-scale data systems in cloud environments.
• Ability to thrive in a fast-paced, high-growth, deadline-driven setting.
• Self-starter with a strong sense of ownership and a passion for problem-solving.
• Comfortable working with messy or unstructured data.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science.
• Exposure to Big Data and Machine Learning technologies is a plus.

Key Details:

• Location: Bangalore-Onsite
• Type- Work From Office-Bangalore E-city

We are seeking a motivated Data Integration Engineer to join our engineering team. This individual will play a critical role in integrating and transforming large-scale data to power intelligent decision-making systems.

Key Responsibilities

• Design, build, and maintain data pipelines and APIs using Python.
• Integrate data from various sources including third-party APIs and internal systems.
• Work with large, unstructured datasets and transform them into usable formats.
• Collaborate with cross-functional teams to define data requirements and deliver timely solutions.
• Leverage cloud-based services, especially AWS (EC2, S3), Snowflake / Databricks to scale data infrastructure.
• Ensure high performance and responsiveness of applications.
• Write clean, maintainable code with a focus on craftsmanship.

Required Skills & Experience

• Strong proficiency in Python and data libraries like Pandas.
• Experience with web frameworks like Django, FastAPI, or Flask.
• Hands-on experience with MongoDB or other NoSQL databases.
• Proficiency in working with RESTful APIs and JSON.
• Familiarity with AWS services: EC2, S3, Snowflake / Databricks.
• Solid understanding of data mining, data exploration, and troubleshooting data issues.
• Real-world experience with large-scale data systems in cloud environments.
• Ability to thrive in a fast-paced, high-growth, deadline-driven setting.
• Self-starter with a strong sense of ownership and a passion for problem-solving.
• Comfortable working with messy or unstructured data.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science.
• Exposure to Big Data and Machine Learning technologies is a plus.

Interview Process for selected candidates

1. First Round: Conducted via Google Meet.

2. Second Round: Technical round Face to face.

Job Type: Full-time

Pay: ₹40, ₹120,000.00 per month

Benefits:

• Health insurance
• Paid sick time
• Provident Fund

Ability to commute/relocate:

• Electronic City, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required)

Location:

• Electronic City, Bengaluru, Karnataka (Required)

Work Location: In person

Job Description: Data Integration Engineer

Location: Bangalore

Role Overview

We are seeking a motivated Data Integration Engineer to join our engineering team. This

individual will play a critical role in integrating and transforming large-scale data to power

intelligent decision-making systems.

Key Responsibilities

 Design, build, and maintain data pipelines and APIs using Python.

Integrate data from various sources including third-party APIs and internal systems.

ork with large, unstructured datasets and transform them into usable formats.

ollaborate with cross-functional teams to define data requirements and deliver timely

solutions.

everage cloud-based services, especially AWS (EC2, S3), Snowflake / Databricks to

scale data infrastructure.

nsure high performance and responsiveness of applications.

rite clean, maintainable code with a focus on craftsmanship.

Required Skills & Experience

trong proficiency in Python and data libraries like Pandas.

xperience with web frameworks like Django / FastAPI / Flask.

ands-on experience with MongoDB or other NoSQL databases.

roficiency in working with RESTful APIs and JSON.

amiliarity with AWS services: EC2, S3, Snowflake / Databricks.

olid understanding of data mining, data exploration, and troubleshooting data issues.

eal-world experience with large-scale data systems in cloud environments.

bility to thrive in a fast-paced, high-growth, deadline-driven setting.

elf-starter with a strong sense of ownership and a passion for problem-solving.

omfortable working with messy or unstructured data.

Preferred Qualifications

achelor's or Master's degree in Computer Science.

xposure to Big Data and Machine Learning technologies is a plus.

Job Types: Full-time, Permanent

Pay: Up to ₹1,400,000.00 per year

Work Location: In person

Description