ADP is hiring Sr. Data Engineer (Sr. Member Technical)
Required Skills
Bachelors / Engineering degree in Computer Science or Information Technology.
Postgraduate degree or diploma in Computer Science / Data Science is an added advantage.
AWS, SQL, Databricks, and Apache Spark certifications are a plus.
Strong foundation in data analytics and engineering, with a minimum of 57years of hands-on experience in project management, implementation, development, improvement, and support of data-related projects.
Strong expertise in programming languages such as PythonandSQL.
Deep knowledge of big data processing and analytics (Spark, Spark optimization, Databricks, Big Data technologies).
Proficient in data modeling.
Good expertise in developmentandoperations (DevOps, GIT).
Knowledge of data storage and architecture is preferred.
Experience with minimum 45 relevant project closures.
Roles & Responsibilities
Demonstrates strongcapabilities in Python and SQL, designing functional Python scripts for data manipulation or ETL tasks; uses libraries like pandas, NumPy effectively.
Designsandoptimizes complex SQL-based data models, and mentors others in query optimization and database design principles.
Independentlybuildsandoptimizes Spark jobs for complex ETL tasks and manages Databricks workflows for performance and reliability.
Designsscalable Spark workflows and mentors others in advanced optimization techniques (e.g., skew handling, memory tuning).
Develops and optimizes Databricks workflows; manages clusters and schedules jobs effectively.
Createsrobust data models for analytics (e.g., star schemas); ensures scalability and performance.
Proficient in DevOps practices, utilizing CI/CD pipelines and GIT for deployment while maintaining high standards of code quality and reliability.
Innovatesanalytics methodologies for complex problems, mentors others in analytics best practices.
Demonstrates strong problem-solving and projectownership, independently resolving complex technical issues and driving projects from start to finish.
Effectivelycommunicates complex ideas to both technical and non-technical stakeholders, ensuring clear understanding and delivering robust, scalable analytics solutions.
Developsrobustanalyticsapproaches; ensures solutions are scalable and aligned with business objectives.
Optimizes pipeline performance with supervision and implements basic improvements (e.g., indexing, caching).
Effectively Participates in stakeholder meetings, contributes to discussions on project requirements and updates, and gathers basic requirements, while needing some supervision for advanced conflict resolution and establishing complex stakeholder relationships.
Actively contributes to Agile processes, project planning, and supports the development team through knowledge sharing and basic technical guidance.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full time