Job Description & How to Apply Below
We will count on you to
:
Identify opportunities which add value to the business and make the process more efficient
.Have the ability to work with colleagues and stakeholders across levels, understand business objectives and make sure all analysis and findings are aligned to those business objectives
.Invest in understand the core business including products, process, documents, and data points with the objective of identifying efficiency and value addition opportunities
.Gather, analyze, and model data using analytical tools and techniques to develop business insights to drive decision
sDesign, develop, and maintain robust data pipelines for extracting, transforming, and loading (ETL) data from diverse sources
.Automate data extraction, transformation, and loading (ETL) from various sources, including PDFs and APIs
.As the operational scales up design and implement scalable data storage solutions and integrate them with existing systems
.Develop scripts and applications to extract and process data from PDF documents using Python
.Collaborate with data scientists and analysts to optimize data workflows and improve data accessibility
.Write efficient, reusable, and testable code to support data processing needs
.Utilize cloud platforms (AWS, Azure, Google Cloud) for data storage and processing
.Perform data extraction from multiple data sources and ensure data integrity and accuracy
.Utilize AI/ML models and tools, including Large Language Models (LLM) and Generative AI, to enhance data processing capabilities
.Design scalable and reliable system architectures to support data-intensive applications
.Implement and maintain security and data protection solutions
.Conduct code reviews and provide mentorship to junior developers
.Stay up-to-date with the latest technology trends and best practices in data engineering and cloud services
.Develop dynamic dashboards that provide insights and visualization into performance relative to KPIs, projections, and historical performance
.Use technical skills to gather and work with large volumes of data using the most suitable technology
.Institutionalize data quality check mechanisms in the data gathering and analysis phases
.Develop scalable solutions for automations of reports
.Ability to lead initiatives and deliver results by engaging with cross-functional teams and resolving data ambiguity issues
.Be responsible for the professional development of your projects and institute a succession plan
.
What you need to have
:
Bachelor's degree in Engineering, Analytics, or a related field, MBA, Computer Applications, IT, Business Analytics, or any disciplin
e.Proven experience of 8-12 years in Python developme
nt Proven experience with data automation and building data pipeline
s.Proven track record in building and maintaining data pipelines and ETL processe
s.Hands-on experience with AI/ML models and tool
s.Strong knowledge of Python libraries such as Pandas, Num Py, and PySpark, Camelo
t.Experience building application using LLM, vision and NLP model
s.
Experience with cloud platforms (AWS, Azure, Google Cloud) and their data service
s.Proficiency in extracting data from various sources, including APIs and PDF
s.Familiarity with database management systems (SQL and No
SQL databases
).Experience in designing and implementing system architectur
e.Ability to operate in a multi layered technology architecture and shape the technology maturity of the organizatio
n.Solid understanding of software development best practices, including version control (Git), code reviews, and testing frameworks (PyTest, Unit Test
).Strong attention to detail and ability to work with complex data set
s.Effective communication skills to present findings and insights to both technical and non-technical stakeholders. Specify superior listening, verbal and written communication skil
ls Excellent project management and organization skil
ls Superlative stakeholder management skills – ability to positively influence stakeholder
s.Synthesis…
Position Requirements
10+ Years
work experience
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