Data-Analytics Engineer III
Company: Christus Health
Posted on: April 16, 2019
The Data and Analytics Engineer III is responsible for design,
development and implementation of optimal solutions to integrate,
store, process and analyze huge data sets. This includes an
understanding of methodology, design, 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 version 2
technologies. Individual must have proven competency in programming
utilizing distributed computing principles.
The Data and Analytics Engineer III is also responsible for
supporting the business goals and objectives for the Data
Management & Analytics Department, the Information Management
Organization, and the organization as a whole.
Design & Development- Provides technical development expertise for
designing, coding, testing, debugging, documenting and supporting
all types of applications consistent with the established
specifications and business requirements in order to deliver
Strategy Execution -- Contributes to the execution of CHRISTUS'
overall information systems strategy as it pertains to their vision
of the organization in both strategic and tactical plans. Involved
in team adoption, execution and integration of strategy to achieve
optimal and efficient deliver.
System Engineering -- 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.
System Integration -- Integrates software components, subsystems,
facilities and services into the existing technical systems
environment; assesses impact on other systems, and works with cross
functional teams within information management to ensure positive
project impact. Installs, configures, and verifies the operation of
System Management -- Participates in development of standards,
design and implementation of proactive processes to collect and
report data and statistics on assigned systems.
System Security -- Participates in the research, design,
development, and implementation of application, database, and
interface security using technologies such as SSL, Public-Key
encryption, and Certificates or other emerging security
Bachelor degree in Computer Science, Engineering, Math or related
field is required. Master's degree is preferred.
Proficiency with Hadoop v2, MapReduce, Spark, HDFS, Python or
Experience with data integration with ETL techniques and
frameworks, such as Flume.
Proficiency with Big Data querying tools, such as Pig, Hive, and
Experience with messaging systems, such as Kafka or MQ
Experience with Big Data Machine Learning toolkits, such as Mahout
Knowledge of NoSQL databases, such as HBase, Cassandra, MongoDB
Knowledge of Hadoop cluster management, with all included
Experience with building stream-processing systems, using solutions
such as Storm or Spark-Streaming is preferred.
Good understanding of Lambda Architecture
Advanced level of SQL programing and query performance tuning
techniques for Data Integration and Consumption using design for
optimum performance against large data asset within an OLTP, OLAP
and MPP architecture.
Solid understanding of BI and analytics landscape, preferable in
large-scale development environments.
Must have the communication skills and ability to develop and
present solutions to all levels of management (including executive
Must have demonstrated the ability to solve complex problems with
Must be able to interact effectively and patiently with customers
especially while under pressure.
The ability to work on multiple projects/tasks simultaneously to
meet project deadlines for self and others as required.
Ability to establish and maintain positive working relationships
with other employees.
Minimum of six (6) years of experience in MapReduce, Spark
Minimum of six (6) years of experience developing analytics
solutions with large data sets within an OLAP and MPP
Minimum of Ten (10) years of experience with design, architecture
and development of Enterprise scale platforms built on open source
C. Licenses, Registrations, or Certifications:
Certifications in Hadoop or Java are a plus.
Keywords: Christus Health, Irving , Data-Analytics Engineer III, Engineering , Irving, Texas
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