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Process mining Engineer
2 months ago
Process mining Engineer -Pyspark
at Capco India
Job Title: Process Mining Engineer
Location: Bangalore / Chennai
NP > 30 Days
About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top Best Companies for Women in India by . With our presence across 32 cities across globe, we support + clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
MAKE AN IMPACT
Role Description
Develop data transformation procedures (e.g. PySpark) for large scale (GB+) process mining data sets based on big data file systems (e.g. Hadoop, Delta Lake)
Strategy • Shape future evolutions of the process mining engineering framework • Review and adopt technological advances in large scale data management and engineering • Partner with other functions to embed holistic process tracing in systems and operations across the bank to maximize process mining coverage and thereby achieve targeted efficiency outcomes
Process Mining • Architect and build modular process mining data framework to maximize data transformation scalability, reuse, robustness, and performance • Lead technical project delivery and ongoing maintenance of data pipelines • Monitor ETL runs and optimize execution speed and robustness • Embrace professional software development and large-scale data engineering practices • Assimilate unknown process domain and terminology quickly • Correlate process execution with underlying data traces; locate, explore and quality-assess • Guide data scoping and technology toolset selection to streamline project delivery • Collaborate with PM architecture for data quality and business volume validation • Develop data transformation procedures (e.g. PySpark) for large scale (GB+) process mining data sets based on big data file systems (e.g. Hadoop, Delta Lake) • Develop delta update methodology and procedures • Validate information across multiple stakeholders and distil common threads and recommendations • Mitigate risks and impediments for project delivery • Nurture relationships, build network across key roles in business • Reflect on impact of changes in data scope and/or analysis approach and mitigate related risk early
Community • Engage with the PM community of practice (engineering angle) • Design and PM engineering training sessions • Advocate for and role-model process- and data-driven holistic (end-to-end) mindset • Present process mining engineering approach, lighthouse project briefs and lessons learned in various tech forums • Collaborate with adjunct fields, like automation, simulation, process design
Risk Management • Identify and raise risks and missing/ineffective controls • Engage process and risk owners to ensure mitigation of raised risks and missing/ineffective controls
Governance • Own and lead technical PM delivery methodology and tracking of optimization potential • Design and establish technical PM training curriculum • Contribute to roadmap planning and project prioritization • Nurture and streamline collaboration model with (business-centric) PM architecture team • Capture lessons learned and derive/design improvements on the PM data transformation • Be aware and understand the regulatory framework in which the Group operates, and the regulatory requirements and expectations relevant to the role
Regulatory & Business Conduct* Effectively and collaboratively identify, escalate, mitigate, and resolve risk, conduct and compliance matters.
Key stakeholders* Global Process Owners (“GPO”) Product Owners (“BPO”) Process/Subject Matter Experts Process Operators Operational Excellence, Transformation and Lean Practitioners Process Tooling Corporate Functions – incl. Finance, Legal, Tax, Risk, and Audit Solution Architects Enterprise Architecture Technology
