A Data and Analytics Engineer Senior is responsible for development, expansion and maintenance of data pipelines of the echo system. A Data and Analytics Engineer uses programming skills to develop, customize and manage integration tools, databases, warehouses, and analytical systems.
The Data and Analytics Engineer Senior is responsible for implementation of optimal solutions to integrate, store, process and analyze huge data sets. This includes an understanding of methodology, specifications, programming, delivery, monitoring, and support standards.
Individual must have extensive knowledge of designing and developing data pipelines and delivering advanced analytics, with open source Big Data processing frameworks such as Hadoop technologies. Individual must have proven competency in programming utilizing distributed computing principles.
This role will support Data Management and Analytics objectives to deliver high quality, contemporary, best-in-class solutions.
Responsible for analyzing and understanding data sources, participating in requirement gathering, and providing insights and guidance on data technology and data modeling best practices.
Analyze ideas and business and functional requirements to formulate a design strategy.
Act as a tenant to draw out a workable application design and coding parameters with essential functionalities.
Work in collaboration with the team members to identify and address the issues by implementing a viable technical solution that is time and cost-effective and ensuring that it does not affect performance quality.
Develop code following the industry’s best practices and adhere to the organizational development rules and standards.
Involved in the evaluation of proposed system acquisitions or solutions development and provides input to the decision-making process relative to compatibility, cost, resource requirements, operations, and maintenance
Integrates software components, subsystems, facilities, and services into the existing technical systems environment; assesses the impact on other systems, and works with cross-functional teams within information Services to ensure positive project impact. Installs configure and verify the operation of software components
Participates in the development of standards, design, and implementation of proactive processes to collect and report data and statistics on assigned systems
Participates in the research, design, development, and implementation of application, database, and interface using technologies platforms provided.
Researching, designing, implementing, and managing programs
Fix problems arising across the test cycles and continuously improve the quality of deliverables
Reference and document each phase of development for further reference and maintenance operation.
A. Education/ Skills:
Bachelor degree in Computer Science, Engineering, Math or related field is required.
Software Development Life Cycle and process
Algorithm and Data Structure
Critical and analytical thinking skills
The candidate must also have had experience in large scale data lake data and data warehouse implementations and demonstrate proficiency in open source technology, for example, Python, Spark, Hive, HDFS, NiFi etc.
The candidate will additionally demonstrate substantial experience and a deep knowledge of data mining techniques, relational, and non-relational databases.
Experience with data integration with ETL techniques using Big Data processing frameworks such as Spark, MapReduce, HDFS, Python or R.
Experience with Big Data querying tools, such as Hive, and Impala
Experience with building stream-processing systems, using solutions such as NiFi or Spark-Streaming is preferred.
Good understanding of Lambda Architecture
Advanced level of SQL programing techniques for Data Integration and Consumption using MPP and columnar databases.
Solid understanding of BI and analytics landscape, preferable in large-scale development environments.
Minimum eight (8) years of experience in MapReduce, Spark programming.
Minimum eight (8) years of experience developing analytics solutions with large data sets within an OLAP, MPP and columnar architecture.
Minimum eight (8) years of experience with design, architecture and development of Enterprise scale platforms built on open source frameworks.
C. Licenses, Registrations, or Certifications:
Certifications in Hadoop or Java are a plus.