Job Description

What You'll DoImplement data quality controls and monitoring systems Evaluate and recommend new data technologies and tools Deploy and manage cloud-based data solutions (AWS/Azure/GCP) Ensure data security, compliance, and governance standards are met Design, development, and maintenance of our data engineering infrastructure Implement scalable data pipelines for batch and real-time processing Establish best practices, coding standards, and technical documentation Mentor and provide technical guidance to junior data engineers Collaborate with data scientists, analysts, and business stakeholders to understand data requirements Optimize data models and database designs for performance and reliability Develop end-to-end data solutions, including data collection and storage, data modelling, and data consumption. Migrating on-prem applications to cloud-based PaaS, focusing on data warehouse and big data solutions. Drive innovations by keeping current on emerging cloud technologies Migration and transfer of multi-terabyte databases or data warehouses from one data-tier technology to another, based on enterprise strategy. Data Modelling: Expertise in data modelling techniques and tools, such as ER modelling, dimensional modelling, and UML (Unified Modelling Language). Design conceptual and logical data models and flowcharts, including source-to-target mappings, transforms, and data lineage. Partner with Application Architects to design data-intensive applications with APIs and streaming data pipelines. Design solutions to prepare and transform data into a usable state for multi-platform consumption. Create data architecture, engineering and migration patterns for MSSQL, MYSQL, Oracle, IBM DB2 assisting data tier migrations with multiple technologies including No SQL/SQL, Relational, Analytical, Big Data, Data Stores, Data Warehousing, supporting Solera Technology Standards and Strategies (TSS) and Cloud Technology Mapping for software versions, licensing, cost savings and implementation in AWS

What You'll Bring4+ years of experience in data engineering roles Utilizing Real-Time, Batch, and NoSQL/SQL. Proficiency in data warehousing, data modelling, ETL design, and optimisation Deep understanding of data enrichment, transformation, security, movement, data architecture, golden record, and data integrity. Experience with big data technologies (e.g., Hadoop, Spark, Kafka) Experience with data orchestration tools (Airflow, Luigi, etc.). Familiarity with AWS migration services like Database Migration Service (DMS) and Server Migration Service (SMS).

Required Qualifications

Bachelor's degree in Computer Science, Engineering, or related technical field (Master's preferred) Hands-on technical involvement Experience with agile development practices Strong problem-solving and debugging skills *Product Based Company Experience Mandatory