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This is a strong technology and solution delivery role, accountable for the successful design, development, and delivery of Data Engineer solutions on the corporate Data Platform. The duties and responsibilities of this job are to prepare data and make it available in an efficient and optimized format for consumer analytics, BI, or data science applications. It requires to work with current technologies used by IntelDS and in particular Spark, Presto, Hive and RedShift on AWS environment.
Job Responsibility:
Accountable for the successful design, development, and delivery of Data Engineer solutions on the corporate Data Platform
Prepare data and make it available in an efficient and optimized format for consumer analytics, BI, or data science applications
Work with Spark, Presto, Hive and RedShift on AWS environment
Responsible for the delivery of the development activities including Data Engineering standards, patterns and best practices
Work with team to ensure standards and patterns are followed
Determines organizational strategies for data integrity validation processes
Design and develop new data ingestion patterns into raw and/or unified data layers
Automate data pipelines
Participate to and apply DevSecOps practices by automating the integration and delivery of data pipelines in a cloud environment
Analyze existing data models, identify and implement performance optimizations for data ingestion and data consumption
Support client applications in connecting and consuming data from the platform
Participate in the monitoring of the platform and debugging of detected issues and bugs
Partner with the Data modelers to drive improvements and enhancements to the current data landscape and future strategy
Identify opportunities for uses of technologies to enhance current or anticipated information systems and business goals needs
Evaluates existing applications that could address client requirements and makes recommendations from complex projects
Assists in the development of Data Engineering-related Service Level Agreements
Communicates risks and ensures understanding of these risks
Requirements:
B.E / B TECH/MASTERS IN COMPUTER SCIENCE, ELECTRONICS, RELEVANT TECHNICAL CERTIFICATION
12 years of experience in modeling and business system designs
10 years hands on experience as Data Engineer/Architect with proven experience on Big Data and Data Lakes on AWS
7 years of experience in SQL, Python, PROC, Windows Functions, GitHub, CICD, AWS: S3, RedShift/Spectrum, Glue, Athena, Cloudwatch, Orchestration: Apache Airflow, ELT tool : DBT, Big Data: Spark, Presto
Strong in SQL query writing and procedures
Proven experience with STAR and SNOWFLAKE schema techniques
Proven track record as a Data Engineer in delivering successful business intelligence developments with complex data sources
Strong analytical skills
Solid presentation, communication and inter-personal skills
Ability to work effectively with globally dispersed stakeholders
Ability to manage multiple priorities in a fast-paced environment
A data-driven mindset
Ability to clearly communicate complex business problems and technical solutions
Ability to manage and make decisions about competing priorities and resources