Job Description

Hiring for Data Integration- Pune
Overview:
We are seeking a skilled and motivated Data Integration Developer to join our dynamic team. This role will focus on designing, developing, and maintaining data integration solutions to ensure seamless data flow between disparate systems and platforms. The ideal candidate should have expertise in data transformation, ETL processes, and integration technologies, along with the ability to troubleshoot and optimize data pipelines.
Key Responsibilities:
Data Integration Development:
Design, implement, and maintain data integration solutions, including ETL processes, APIs, and data pipelines.
Integrate data from multiple internal and external sources, ensuring data consistency and accuracy.
Implement and support real-time and batch data integration workflows.
ETL Process Design:
Develop and optimize Extract, Transform, Load (ETL) processes to efficiently move data between systems.
Ensure data quality and integrity during transformation and integration.
Data Pipeline Management:
Create automated data pipelines for continuous data flow between systems.
Manage and monitor data workflows and resolve issues related to data integration and synchronization.
Collaboration & Documentation:
Work closely with cross-functional teams (data analysts, data scientists, business analysts) to understand data requirements and provide solutions.
Develop clear and detailed technical documentation for data integration workflows and processes.
Performance Optimization:
Optimize data integration processes for performance and scalability.
Troubleshoot and debug issues with data pipelines, resolving issues related to data transfer, transformation, and loading.
Technology Stack:
Work with integration tools like Informatica, Talend, MuleSoft, or Apache Nifi.
Utilize database technologies like SQL, NoSQL, and cloud platforms like AWS, Azure, or Google Cloud for integration.
Implement data formats like JSON, XML, CSV, and Parquet.
Required Skills & Qualifications:
Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
Experience: Minimum [X] years of experience in data integration, ETL development, or data engineering.
Technical Skills:
Strong proficiency in SQL, Python, or other data-related programming languages.
Experience with ETL tools such as Informatica, Talend, Apache Nifi, or MuleSoft.
Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and services like AWS Glue, Lambda, S3, Azure Data Factory, or Google Cloud Dataflow.
Knowledge of data formats (CSV, JSON, XML, Parquet) and APIs.

Skills Required