Regulatory, Risk & Forensic
Our Regulatory, Risk & Forensic team supports client leaders to translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform organizations. Leverage advanced data, AI, and emerging technologies with deep domain and industry insights to help bring clarity from complexity and accelerate the path to value creation.
Position Summary
Level: Consultant
As an experienced Consultant at Deloitte Consulting Services, you will be responsible for individually delivering high quality work products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.
Work you’ll do:
Essential job requirements include:
- Analyze client requirements, perform due diligence, and design data solutions to suit client needs
- Execute data engineering and management engagements to help clients monitor, mitigate, and sustain risks
- Interact with clients and engagement teams to coordinate project work and ensure client satisfaction
- Continuing to expand depth and breadth of technical knowledge related to data engineering and application development
- Build business and industry knowledge in one or more industries
- Build personal and team capability in technical / business / industry area
- Work on practice development activities, such as proposals, eminence, innovation
The team:
Our Regulatory & Operational Risk team leverages deep knowledge of industry-specific regulations with demonstrated methodologies to design, assess, and transform the processes, controls, and infrastructure needed to mitigate risk and achieve compliance. Our professionals are skilled in varied analytical tools, technologies and methodologies such as Data Management (on premise / cloud), Data Quality, Data Governance, Dashboarding & Visualization, Automation, Machine Learning Natural Language Processing. Combining this with our knowledge of industry and demonstrated methodologies to design, assess, and transform the processes, controls, and infrastructure, we help clients in designing, implementing and managing analytical programs successfully.
Qualifications
Must Have Skills/Project Experience/Certifications:
- Experience required is 3-5 years.
- Data pipeline architecture, design and build, including data Ingestion, processing and transformation.
- Python/PySpark programming with emphasis on data engineering & management.
- PySpark/Python execution logs interpretation, troubleshooting, and optimization of code efficiency on distributed platforms (e.g., YARN).
- Manage large datasets and advanced programming skills in Python and/or SQL or other relational databases.
- Experience in Big data / Hadoop / Spark.
- Different data storage formats (e.g. JSON, AVRO, parquet, native database formats.
Good to Have Skills/Project Experience/Certifications:
- Proficient in at least one technology, in each of the following areas:
- Proficiency in Python and PySpark development.
- Strong knowledge of SQL (including advanced analytics functions) and experience with Hadoop ecosystem.
- Familiarity with DevOps practices and CI/CD pipelines.
- Knowledge of version control using Git.
- Experience in building data analytics solutions on AWS, Google Cloud, Azure.
Education:
- BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
Location:
- Bengaluru/Hyderabad/Pune/Chennai/Kolkata
Our purpose
Our people and culture
Professional development
Benefits to help you thrive
At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
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