Data/AI Engineer supporting innovations in corporate travel with AWS technologies at HRS Group. Collaborating with data teams to develop AI solutions and maintain data pipelines.
About the role
- Senior Data Engineer at Lightcast responsible for building data infrastructure. Collaborate with engineering and analytics teams to support machine learning and enterprise decision-making.
Responsibilities
- Architect, build, and maintain scalable, reliable data pipelines (batch & streaming) to ingest, transform, and deliver data for analytics, reporting, and ML use cases.
- Architect software applications, test, and build automated tools.
- Translate complex functional and technical requirements into architecture designs and high-performing software solutions.
- Select appropriate data solution software and define hardware requirements to support performance and scalability.
- Develop and implement standards and processes for data integration projects and initiatives.
- Lead the design and development of software applications, testing, and building tools.
- Optimize SQL queries (joins, window functions, aggregations, partitioning, indexing) and data schema performance.
- Design data models, schemas, and data warehouses/data lakes (dimensional, star, snowflake schemas, normalization/denormalization).
- Ensure data quality, correctness, and consistency across datasets (validation, anomaly detection, reconciliation).
- Ensure database changes are reviewed and approved according to standards.
- Monitor, troubleshoot, and tune performance of pipelines, databases, and workloads.
- Drive adoption of engineering best practices: version control, CI/CD, testing (unit and integration for data pipelines), documentation, and code reviews.
- Collaborate with software engineers to integrate data systems into production environments.
- Provide technical assistance to junior members and to colleagues across the company.
- Mentor and coach junior and mid-level engineers, promoting engineering discipline across the team.
- Evaluate and propose new tools, frameworks, and technologies for the data platform.
- Ensure data security, governance, access control, lineage, and compliance (e.g., GDPR, CCPA, internal standards).
Requirements
- Bachelor’s degree in Computer Science or a related technical discipline (Master’s preferred)
- 5+ years of professional experience in data engineering, software engineering, or data science
- Expert-level SQL, including query optimization, advanced joins, windowing, partitioning, and indexing
- Proven expertise in Snowflake for data warehousing and advanced analytics
- Strong background in data modeling, data engineering best practices, and distributed systems (e.g., Spark, Hadoop, Hive, Presto)
- Hands-on experience designing and maintaining ETL/ELT pipelines, data integration (APIs, event streams, logs), and workflow orchestration (Airflow or Astronomer required)
- Proficiency with modern data stack tools, including DBT for transformation and modeling
- Experience with AWS cloud services for data engineering and infrastructure management
- Strong software engineering skills, including clean code practices, modularization, error handling, logging, CI/CD, and automated testing
- Knowledge of object-oriented design, data structures, algorithms, and disaster recovery strategies for data systems
- Skilled in scalability and performance optimization across pipelines, databases, and workloads
- Familiarity with Python (preferred) and other modern programming languages
- Demonstrated ability to analyze complex data sets, identify trends, and derive actionable insights
- Effective collaborator with cross-functional teams and proven success in mentoring junior engineers
- Experience with agile or rapid application development methodologies
- Highly creative, detail-oriented, and results-driven with strong problem-solving and prioritization skills
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
AS
Data Engineer developing data solutions for reporting and analytics at Assurant. Implementing and optimizing Data Warehouse solutions in cloud and on - premise environments with Agile methodology.
AI Engineer developing AI - driven analytics for trading at Deloitte. Focusing on scalable data pipelines and collaboration with traders for actionable insights.
Big Data Engineer developing and optimizing data systems at ESET. Collaborating with cross - functional teams to handle and transform vast datasets.
Data Engineer involved in delivering scalable enterprise systems and digital transformation platforms for Qualysoft. Collaborate with global teams across various industries and technologies.
Program Manager leading development of AI - driven data platform to enhance revenue intelligence across global business functions. Collaborating across teams and regions in a hybrid work environment.
Project Manager overseeing payroll system implementation with global outsourcing partner. Leading cross - functional teams and stakeholder engagement for project success.
Data Engineer 3 optimizing Market Place processes for Walmart Global Tech's Chennai team. Developing data pipelines and ensuring efficient utilization of Market Place systems.
Data Engineer at Michelin designing and supporting data analytics systems. Involved in data transformation and pipeline quality assurance.
Data Engineer at CBTW handling data pipelines and ETL processes using SAS. Collaborating with business stakeholders and ensuring data governance within SAS environments.