EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are currently seeking an experienced Lead Data Integration Engineer to join our team, focused on merging and modeling data from various source systems to our target customer systems. Our goal is to streamline the migration process of M&A business data into our owned technology, ensuring efficient and time-effective data integration. The ideal candidate will play a crucial role in leading our migration squads through complex data integration processes.
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Responsibilities
- Analyze source systems and establish connectors for effective data extraction
- Perform initial data loads and manage delta loads through several migration iterations
- Utilize tools such as Fivetran and SFTP for data ingestion and acquisition
- Ingest data into Databricks, overseeing any necessary augmentation or corrections of Master Data
- Facilitate the end-to-end process of data integration from source systems like various databases, Excel spreadsheets, and APIs to target systems such as Salesforce and Marketo
- Lead and coordinate activities of migration squads to ensure alignment with migration strategy and timelines
- Monitor data quality, validate data accuracy and perform data augmentation as required
- Collaborate with IT and business stakeholders to understand requirements and deliver solutions that align with business goals
- Develop and maintain documentation related to data integration processes and data models
- Continuously improve and optimize data integration practices and procedures
- 5+ years of experience in data integration or a related field
- 1+ years of relevant leadership experience
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Proficiency in data ingestion tools such as Fivetran and SFTP
- Expertise in managing and manipulating data within Databricks
- Knowledge of source systems including various databases, Excel spreadsheets, APIs, file storages, chat data, and video/audio data
- Familiarity with target systems such as Salesforce, People XD and Marketo
- Strong analytical skills including data analysis, data quality assessments, and data validation
- Strong project management skills with the ability to lead cross-functional teams
- Excellent communication and collaboration abilities
- Background in Azure DevOps
- Experience in data augmentation
- Advanced knowledge of data modeling techniques
- Ability to innovate and improve data integration methodologies
- Industry-based education.As a leading software engineering company, we will help you explore emerging technologies and best practices that the market demands
- Top-notch learning materials. Our Automated Testing specialists with extensive project experience have designed and tested the educational content in numerous training runs
- Practice-oriented approach. This comprehensive program focuses on providing you with hands-on experience and practical application of the concepts learned
- Foundation for Specialization. Our program provides the key skills you need to build a strong base for further specialization, helping you prepare for more advanced challenges in your career
- Career Opportunities. Successfully completing the program opens the door to further training and potential job opportunities at EPAM as you continue to grow your expertise