Data Analytics Engineer II

Summary:

A Data and Analytics Engineer II 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 II 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 advanced 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.

Responsibilities:

• Meets expectations of the applicable
  OneCHRISTUS Competencies: Leader of Self, Leader of Others, or
  Leader of Leaders.
• Responsible for analyzing
  and understanding data sources, participating in requirement
  gathering, and providing insights and guidance on data technology
  and data modeling best practices.
• Analyzes
  ideas and business and functional requirements to formulate a
  design strategy.
• Acts as a tenant to draw out a
  workable application design and coding parameters with essential
  functionalities.
• Works 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.
• Develops 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.
• Fixes problems arising
  across the test cycles and continuously improve the quality of
  deliverables.
• References and documents each
  phase of development for further reference and maintenance
  operation.
• Uses critical and analytical
  thinking skills and understanding of programming principles and
  design.
• Uses strong technical knowledge of
  Enterprise Application/Integration Design and develop systems,
  databases, operating systems, and Information
  Services.
• Uses 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.
• Demonstrates substantial
  experience and a deep knowledge of data mining techniques,
  relational, and non-relational
  databases.
• Demonstrates experience with data
  integration with ETL techniques and
  frameworks.
• Works with Big Data querying tools,
  such as Hive, Impala and Spark SQL.
• Builds
  stream-processing systems, using solutions such as NiFi or
  Spark-Streaming.
• Demonstrates good
  understanding of Lambda Architecture
• Uses
  intermediate level of SQL programing and query performance tuning
  techniques for Data Integration and Consumption using design for
  optimum performance against large data asset within Transactional,
  MPP and columnar architecture.
• Demonstrates
  solid understanding of BI and analytics landscape, preferable in
  large-scale development environments.

Job Requirements:

Education/Skills

• Bachelor's degree in computer science,
  Engineering, Math, or related field is
  required.

Experience

• Minimum of three (3) years of experience in
  MapReduce, Spark programming.
• Minimum of three
  (3) years of experience developing analytics solutions with large
  data sets within an OLAP and MPP
  architecture.
• Minimum of five (5) years of
  experience with design, architecture and development of Enterprise
  scale platforms built on open-source
  frameworks.
• Three (3) years of experience with
  working in a Microsoft SQL Server environment is
  preferred.
• One (1) year of Healthcare IT
  experience is preferred.
• Two (2) years of
  experience working with Microsoft SQL Server Integration Services
  (SSIS) is preferred.

Licenses, Registrations, or
Certifications

• Certifications in Hadoop or Java are a
  plus.

Work Schedule:

8AM - 5PM Monday-Friday

Work
Type:

Full
Time