Tekwissen India
9 months ago
Data Integration Developer
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Company information
- Company
- Tekwissen India
- Location
- India India
- Posted
- 9 months ago
Job description
Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below job opportunity is to one of our clients who is a part of a trusted global innovator of IT and business services headquartered in Tokyo. We help clients transform through consulting, industry solutions, business process services, IT modernization and managed services. This client enables us to move confidently into the digital future. This client committed to Long Term success and combine global reach with local client attention to serve them in over 50 Countries.
Position:Data Integration Developer Location: PAN India Work Type: Hybrid Job Type: Full Time Job Description: Key Responsibilities:
Data Pipeline Development:
Education:
Position:Data Integration Developer Location: PAN India Work Type: Hybrid Job Type: Full Time Job Description: Key Responsibilities:
Data Pipeline Development:
- Design, develop, and maintain robust data ingestion pipelines into Adobe Experience Platform using batch and streaming data sources.
- Implement RT-CDP data schemas, source connectors, identity resolution rules, and audience activation workflows.
- Work with internal and external APIs, ETL/ELT tools, and data orchestration frameworks to enable data movement between AEP and other enterprise systems (CRM, DWH, web analytics, etc.).
- Support the configuration of event datasets, triggers, and journey data pipelines for real-time activation and personalization.
- Prepare and integrate datasets to ensure unified data models for cross-channel analytics and reporting within CJA.
- Ensure data accuracy, consistency, and compliance with privacy regulations (GDPR, CCPA, HIPAA, etc.) through monitoring and validation frameworks.
- Partner with Adobe architects, marketing operations, and analytics teams to translate business requirements into scalable data solutions.
- Optimize ingestion, storage, and query performance within AEP datasets and related cloud environments.
- Maintain technical documentation and automate repetitive workflows using scripts and cloud-native tools.
Education:
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field.
- 8+ years of professional experience in data engineering, ETL development, or data integration in large-scale environments.
- 3 5 years of experience designing and implementing solutions within AEP or similar CDP/MarTech ecosystems.
- Data ingestion (batch and streaming)
- XDM schema and dataset design
- Identity resolution configuration
- Segment creation and audience activation workflows
- 2 3 years of experience integrating data pipelines to support real-time triggers, event datasets, and journey orchestration.
- 1 3 years of experience preparing and linking datasets for use in CJA, including familiarity with data views, dimensions, and calculated metrics.
- 3 5 years of experience in Python, SQL, or Scala for data transformation and automation.
- 3 5 years of experience with ETL tools such as Informatica, Talend, Apache Airflow, or Azure Data Factory.
- 3 5 years of experience in AWS, Azure, or GCP with data storage and processing services (S3, Snowflake, BigQuery, Databricks, etc.).
- 2 4 years of experience integrating data using REST APIs, Kafka, or Adobe I/O Runtime for real-time processing.
- 3 5 years of experience in data modeling, metadata management, and ensuring compliance with privacy frameworks.
- Adobe Certified Professional or Expert in RT-CDP, AJO, or CJA.
- Experience integrating Adobe Experience Cloud with CRM, CMS, and DMP platforms (e.g., Salesforce, Adobe Campaign, ServiceNow).
- Knowledge of JSON, Parquet, and Avro data formats.
- Familiarity with CI/CD practices and Git-based version control.
- Experience in real-time event streaming and data orchestration frameworks.
- Strong communication and problem-solving abilities.
- Comfortable working in cross-functional and Agile teams.
- Detail-oriented with a passion for data accuracy and quality.
Required skills
- kafka
- databricks
- snowflake
- ci/cd
- sql
- etl
- python
- aws
- s3
- gcp
- azure
- rest apis
- json
- data engineering
- adobe journey optimizer
- data integration
- aep
- adobe experience platform
- talend
- scala
- bigquery
- apache airflow
- azure data factory
- informatica
- parquet
- avro
- adobe rt-cdp
- customer journey analytics
- adobe i/o runtime
- git-based version control
- real-time event streaming
- data orchestration frameworks
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