App Automation Eng Senior Analyst
Accenture
5 - 10 years
Mumbai
Posted: 9/9/2024
Job Description
Skill required: Tech for Operations - Data Governance
Designation: App Automation Eng Senior Analyst
Qualifications:BTech/Bachelor of Information systems and Management/Bachelors of Information Technology
Years of Experience:5 to 8 years
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
What would you do? The Application Automation Engineering Senior Analyst will be part of a team responsible for designing, building, optimizing, and maintaining our data and data pipeline architecture. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Application Automation Engineering Senior Analyst will be responsible to ensure data consistency, integrity and traceability while maintaining the highest level of data protection and security. The Application Automation Engineering Senior Analyst must be comfortable supporting multiple teams, systems, 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 Automation Assessing, 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? Proven experience building and optimizing big data data pipelines, architectures, and data sets. Strong analytic skills related to working with raw, structured, and unstructured datasets. Experience building and supporting processes for data transformation, data structures, metadata, dependency, and workload management. A successful history of manipulating, processing, and extracting value from datasets. Working knowledge of message queuing, stream processing, and highly scalable big data data stores. 5+ years in data engineering experience. 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 Relevant Bachelors degree. Proven experience building and optimizing big data data pipelines, architectures, and data sets. Strong analytic skills related to working with raw, structured, and unstructured datasets. Experience building and supporting processes for data transformation, data structures, metadata, dependency, and workload management. A successful history of manipulating, processing, and extracting value from datasets. Working knowledge of message queuing, stream processing, and highly scalable big data data stores. 5+ years in data engineering experience. 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 Relevant Bachelors degree.
Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team 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 modeling. Conduct complex data analysis and report on results. Build algorithms and prototypes. Build 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. 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.
Designation: App Automation Eng Senior Analyst
Qualifications:BTech/Bachelor of Information systems and Management/Bachelors of Information Technology
Years of Experience:5 to 8 years
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
What would you do? The Application Automation Engineering Senior Analyst will be part of a team responsible for designing, building, optimizing, and maintaining our data and data pipeline architecture. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Application Automation Engineering Senior Analyst will be responsible to ensure data consistency, integrity and traceability while maintaining the highest level of data protection and security. The Application Automation Engineering Senior Analyst must be comfortable supporting multiple teams, systems, 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 Automation Assessing, 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? Proven experience building and optimizing big data data pipelines, architectures, and data sets. Strong analytic skills related to working with raw, structured, and unstructured datasets. Experience building and supporting processes for data transformation, data structures, metadata, dependency, and workload management. A successful history of manipulating, processing, and extracting value from datasets. Working knowledge of message queuing, stream processing, and highly scalable big data data stores. 5+ years in data engineering experience. 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 Relevant Bachelors degree. Proven experience building and optimizing big data data pipelines, architectures, and data sets. Strong analytic skills related to working with raw, structured, and unstructured datasets. Experience building and supporting processes for data transformation, data structures, metadata, dependency, and workload management. A successful history of manipulating, processing, and extracting value from datasets. Working knowledge of message queuing, stream processing, and highly scalable big data data stores. 5+ years in data engineering experience. 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 Relevant Bachelors degree.
Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team 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 modeling. Conduct complex data analysis and report on results. Build algorithms and prototypes. Build 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. 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.
About Company
Accenture is a global professional services company that provides a broad range of services in strategy, consulting, digital, technology, and operations. Headquartered in Dublin, Ireland, Accenture operates in more than 120 countries and serves clients in various industries, including finance, healthcare, technology, and consumer goods. The company focuses on delivering innovative solutions and digital transformation services to help businesses improve efficiency, enhance performance, and drive growth. Accenture is known for its extensive use of technology and data analytics to solve complex business challenges and maintain a competitive edge in a rapidly changing market.
Services you might be interested in
One-Shot Campaign
Reach out to ideal employees in one shot!
The intelligent campaign for reaching out to the ideal audience to whom you can ask for help (guidance or referral).