RA Others – Data Engineer – Consultant
Company Name:-
Deloitte
Job Location:-
Bengaluru, Karnataka
Job Summary:-
Job requisition ID :: 2267
Date: May 12, 2021
Location: Bengaluru
Designation: Consultant
Entity: DTTILLP
Data Engineer JD
Data engineers implement methods to improve data reliability and quality.
They combine raw information from different sources to create consistent and machine-readable formats.
They also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling.
Data engineer roles and responsibilities include:
Analyzing raw data
Developing and maintaining datasets
Improving data quality and efficiency
Job brief
We are looking for an experienced data engineer to join our cyber security team.
Experience levels 2-4 Years.
You will use various methods to transform raw cyber data into useful data systems.
For example, youll create algorithms and conduct statistical analysis.
Overall, youll strive for efficiency by aligning data systems with business goals.
You will also be required to understand cloud, specifically Azure and AWS and the tools available for the data treatment.
Knowledge of ETL/ ELT is a must.
Also we would like if you are familiar with data extraction methods, pipelines, scripts, APIs and RPA.
To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources.
Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods.
If you are detail-oriented, with excellent organizational skills and experience in this field, wed like to hear from you.
Responsibilities
Strategy for extraction of data from cyber products
Analyze and organize raw data
Build data systems and pipelines
Evaluate business needs and objectives- Align with the Cyber KPIs and KRIs of the Organisation
Interpret trends and patterns
Conduct complex data analysis and report on results
Prepare data for prescriptive and predictive modeling
Build algorithms and prototypes
Combine raw information, Transitional Cyber data from different sources with the system data
Explore ways to enhance data quality and reliability
Identify opportunities for data acquisition
Develop analytical tools and programs
Collaborate with data scientists and architects
FOR MORE DETAILS CLICK BELOW LINK
