App Automation Eng Specialist

Skill required: Tech for Operations - Data Governance


Designation: App Automation Eng Specialist


Qualifications:BTech/Bachelor of Information systems and Management/Bachelors of Information Technology


Years of Experience:7 to 11 years


What would you do?
You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions. The Application Automation Engineering Specialist will be part of a team responsible for designing, building, optimizing and maintaining our data and data pipeline architecture. The Application Automation Engineering Specialist will be responsible to ensure data consistency, integrity and traceability while maintaining the highest level of data protection and security. The Application Automation Engineering Specialist must be comfortable leading and supporting multiple teams, system and projects.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationAssessing, managing, using, improving, monitoring, maintaining and protecting organizational information through a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions, with what information, when, under what circumstances and using what methods.


What are we looking for?

8+ years in data engineering experience.

Proven experience building and optimizing big data data pipelines, architectures and data sets.

Proven experience building and supporting processes for data transformation, data structures, metadata, dependency and workload management.

Solid knowledge of message queuing, stream processing, and highly scalable big data data stores.

Strong project management experience and able to work closely with project managers.

Experience including design and build with ETL, ELT tools and workflows.

Experience including design and build with scripting in a data engineering context (Python experience a plus).

Experience including design and build with common database technologies including SQL, NoSQL, Parquet.

Experience including design and build with cloud based database and data pipeline technologies (Azure experience a plus).

Experience with version control and dev ops pipelines.Education/Certification requirement:

Relevant graduate degree or equivalent combination of education and experience.

8+ years in data engineering experience.

Proven experience building and optimizing big data data pipelines, architectures and data sets.

Proven experience building and supporting processes for data transformation, data structures, metadata, dependency and workload management.

Solid knowledge of message queuing, stream processing, and highly scalable big data data stores.

Strong project management experience and able to work closely with project managers.

Experience including design and build with ETL, ELT tools and workflows.

Experience including design and build with scripting in a data engineering context (Python experience a plus).

Experience including design and build with common database technologies including SQL, NoSQL, Parquet.

Experience including design and build with cloud based database and data pipeline technologies (Azure experience a plus).

Experience with version control and dev ops pipelines.Education/Certification requirement:

Relevant graduate degree or equivalent combination of education and experience.

Roles and Responsibilities:

In this role you are required to do analysis and solving of moderately complex problems

May create new solutions, leveraging and, where needed, adapting existing methods and procedures

The person would require understanding of the strategic direction set by senior management as it relates to team goals

Primary upward interaction is with direct supervisor

May interact with peers and/or management levels at a client and/or within Accenture

Guidance would be provided when determining methods and procedures on new assignments

Decisions made by you will often impact the team in which they reside

Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture

Please note that this role may require you to work in rotational shifts

Analyze and organize raw data from multiple sources.

Design, build or implement data pipelines along with supporting infrastructure.

Create data processing architectures supporting the entire data lifecycle.

Assemble large, complex datasets that meet functional and non-functional business requirements.

Prepare data for prescriptive and predictive modelling.

Conduct complex data analysis and report on results.

Build algorithms and prototypes.

Make automations and repeatable patterns to improve data processing efficiency.

Support maintenance of existing data pipelines and architectures with a view to optimization.

Identify opportunities for data acquisition.

Lead and support several data efforts simultaneously.

Manage data engineering team members.

Understand business needs and objectives.

Maintain strict data security controls and standards.

Collaborate with data scientists and analytics teams.

Work closely with all business units and engineering teams to develop strategy for long term data platform architecture.

Adhere to data management best practices and maintain detailed documentation.


Qualifications
BTech,Bachelor of Information systems and Management,Bachelors of Information Technology