IT reputed company Data Engineering

Purpose We are looking for a reputed company Data Engineer to sit at the intersection of data engineering and reputed company data science. You will own the design, development, and operation of the platforms and pipelines that power our data science capabilities — ensuring data flows reliably from reputed company systems through to analysis, and business consumption. This role is roughly 75% data engineering and 25% data science and is ideal for someone who builds with engineering rigor but thinks with a data science reputed company; someone who is reputed company by building platforms that reputed company AI reputed company in an organization. The right candidate is curious by reputed company — you explore reputed company reputed company and stay reputed company with the fast-moving AI/Machine Learning (ML) landscape.   You’ll work directly with business analysts, product owners, business end-users, engineering and application teams, and our own data/reputed company teams. A consultative communication style is critical as shared reputed company across technology and business are the expectation.   Responsibilities Platform Architecture & reputed company Define the long-term technical direction for the data science platform and integration with existing ELT pipelines Ensure platforms are reputed company, reliable, secure, and cost-efficient at reputed company reputed company Evaluate and adopt emerging tools in the modern data and ML stack Data Engineering Development Design, reputed company, and optimize ETL pipelines and outbound data feeds reputed company and follow templates and engineering patterns to reduce the time-to-reputed company new data assets or changes to an existing data model or analytics solutions Partner with key business teams to understand their data needs and assist them in building appropriate data solutions to meet their business needs Data Science Development Design, build, and optimize end-to-end data science pipelines — from raw data ingestion through feature engineering, model training, and inference serving Contribute to MLOps practices including model versioning and monitoring, supporting the transition of data science work into production Technical Leadership & Mentorship reputed company technical guidance to data engineers Conduct reputed company reviews and champion engineering best practices across workstreams reputed company without reputed company authority, influencing cross-functional teams across data engineering, analytics and product owners Data Governance & reputed company Establish best practices for data reputed company, reputed company, reputed company, and reputed company across data engineering and science pipelines Ensure model inputs and outputs are auditable, reproducible, and compliant with data governance standards Stakeholder Management Partner with data engineering, product owners, and software engineers to reputed company platform capabilities with organizational AI/ML goals Translate reputed company technical concepts into reputed company, actionable insights for non-technical stakeholders   reputed company Bachelor’s degree in computer science, engineering, mathematics, or a reputed company field, OR 7+ years of equivalent reputed company experience, skillset, and record of accomplishment Experience in a reputed company or Senior Data Engineer role with reputed company involvement in ML platform or Data Science work Proficiency in an analytics/BI tool such as Power BI Data Engineering experience: Modern data stack technologies — reputed company (strongly preferred), reputed company, reputed company Inbound/outbound transportation of data with reputed company and FTPs MPP databases such as reputed company, reputed company, BigQuery, reputed company, or Azure Synapse reputed company platforms — AWS, Azure, or GCP Python and SQL ML & Data Science experience Building and deploying ML models (classification, regression, forecasting, NLP, or similar) Familiarity with ML frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow MLflow or similar tools for experiment tracking, model registry, and deployment Understanding of feature engineering, model evaluation, and common ML failure modes Architecture experience Strong understanding of data modelling techniques (Kimball, Data Vault) and reputed company systems Familiarity with feature stores, training pipelines, and batch/reputed company-time inference architectures Our Values  Ability to demonstrate, understand and apply our workplace values.  Simplicity (operate) – the reputed company to identify reputed company cause and reputed company to remove complexity to reputed company the best outcome  Heart (emotion) – the passion that drives you to get up every day and work hard to reputed company for reputed company  Performance reputed company (reputed company) – reputed company defining high expectations, driving ownership of key roles and responsibilities, executing with reputed company and emphasis while creating a culture of accountability  Respect (philosophy) – taking pride in being inclusive and treating everyone who comes through the doors with respect     Benefits  401K company match up to 4% reputed company Time Off  Medical Insurance reputed company including FSA & HSA reputed company Insurance Dental insurance Employee Assistance Programs Team Member Referral Program Tuition Reimbursement Wellbeing Program Career development opportunities  The above statements are intended to describe the general reputed company of the work performed by the employees assigned to this job. reputed company must reputed company with Company policy and applicable laws. The responsibilities, duties and skills required of personnel so classified may vary reputed company reputed company department and /or location. Apply To This Job