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Job Title: Data Engineering Specialist Job Description We are seeking a skilled Data Engineering Specialist to join our team. In this role, you will be responsible for designing and building scalable data pipelines and cloud-based data platforms. This involves collaborating closely with data scientists, business intelligence teams, and architects to deliver high-quality solutions that meet the needs of our clients. The ideal candidate has experience in big data processing, ETL/ELT pipelines, and cloud-native services, particularly on Azure OpenAI. Key Responsibilities: Design, build, and optimize ETL/ELT processes and data pipelines for structured and unstructured data; Develop and maintain data lakes, warehouses, and analytics platforms in the cloud; Ensure data quality, governance, and security compliance across environments; Translate business and technical requirements into scalable data solutions; Implement best practices for data storage, partitioning, and performance tuning; Work with Azure cloud-native services (Data Factory, Synapse, Databricks) for ingestion, transformation, and orchestration; Build real-time and batch data processing solutions using big data frameworks; Partner with analysts and data scientists to support AI/ML and reporting initiatives; Monitor and troubleshoot data pipelines, workflows, and infrastructure issues; Contribute to automation, CI/CD pipelines, and Infrastructure-as-Code practices for data platforms. Required Skills and Qualifications To succeed in this role, you will need: Experience in data engineering, architecture, or ETL development; Strong programming skills in Python, Java, or Scala for data processing; Advanced SQL expertise and proficiency in relational databases (PostgreSQL, MySQL, Oracle, SQL Server); Hands-on experience with big data frameworks (Apache Spark, Hadoop, Databricks); Strong knowledge of Azure data services (Data Factory, Synapse, Databricks); Experience with workflow orchestration tools (Airflow, Luigi, Prefect); Familiarity with NoSQL databases (MongoDB, Cassandra, DynamoDB); Solid understanding of data modeling, partitioning, and query optimization; Strong communication skills in English (written and verbal). About Our Company Our company is a leading provider of digital engineering and modernization services. We have a global presence with over 9,000 experts in 47+ offices and innovation labs worldwide. We offer a range of technology practices, including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. We value diversity and inclusion in our workplace and welcome professionals from all backgrounds to apply. As an equal opportunities employer, we do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
