Senior Data Engineer (JD#11329)

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Description

Job Summary We are seeking a senior data engineer to design, build, and maintain production-grade data pipelines and lakehouse solutions in an on-premises environment, while driving data platform initiatives, performance, security, and technical best practices. Mandatory Skill Set 8+ years of IT experience with 5+ years in data engineering/data pipelines; Expert SQL/SQL Server – query optimization, indexing & performance tuning; Advanced Python & PySpark; Apache Spark and distributed data processing; Kubernetes & Docker for on-premises deployments; Data modelling – relational & NoSQL; hands-on MongoDB/Cassandra; Lakehouse/Data Lake architecture, including Iceberg, partitioning & metadata; ETL/ELT orchestration – Apache Airflow or similar; CI/CD, Git, automated testing & IaC; Data security, governance, RBAC, masking & compliance. Desired Skill Set Experience in data virtualization, logical data warehouses, Data Mesh/Fabric architectures, metadata management, and data lineage; Familiarity with real-time streaming technologies such as Kafka/Flink, along with experience in technical leadership, mentoring, and Agile data architecture. Responsibilities Design and develop production-grade ETL/ELT pipelines using Python/PySpark; Build and manage multi-layer lakehouse architecture across raw, curated, and consumption layers; Deploy scalable data pipelines using Kubernetes/Docker in on-premise environments; Develop data models and optimize complex SQL Server queries and performance; Establish CI/CD, automated testing, monitoring, and version-control practices; Implement data security, governance, and access controls; Mentor engineers, conduct code reviews, and drive engineering best practices; Collaborate with data scientists, BAs, and stakeholders to deliver business-ready datasets; Provide L3 support and lead resolution of complex data engineering challenges. Should you be interested in this career opportunity, please send in your updated resume to [email] at the earliest. When you apply, you voluntarily consent to the disclosure, collection, and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website ( Privacy Policy | SCIENTE). Confidentiality is assured, and only shortlisted candidates will be notified for interviews. EA Licence No. 07C5639

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