Short Description:
The Data Engineer position based in Hyderabad, India, requires expertise in FME, ArcGIS Pro, Python, SQL, and Oracle Database. Responsibilities include executing engineering assignments, managing projects, collaborating with team members, and providing technical guidance. The ideal candidate possesses a bachelor's degree in a relevant field and one to four years of practical experience. Desirable skills include mapping, AutoCAD, and ArcGIS Pro, enhancing the candidate's ability to work with spatial data effectively. This role offers an opportunity for career growth and development in the field of data engineering.
Position: Associate Data Engineer
Company: Cyient
Location: Hyderabad, India
Job type: Full time
Job mode: Onsite
Introduction
The role of a Data Engineer is crucial in modern enterprises, particularly in managing and optimizing data pipelines, ensuring data integrity, and enabling efficient data analysis. This paraphrased job description outlines the key responsibilities, required skills, and qualifications for a Data Engineer position based in Hyderabad, India.
Key Skills
Strong FME Experience
Demonstrated proficiency in FME (Feature Manipulation Engine) for data integration, transformation, and automation tasks is essential. The candidate should be adept at leveraging FME to streamline data workflows and ensure seamless data interoperability.
Strong ArcGIS Pro Experience
Extensive hands-on experience with ArcGIS Pro for spatial analysis, mapping, and data visualization is required. The candidate should possess the ability to utilize ArcGIS Pro effectively to derive meaningful insights from spatial data.
Exposure to XML
Familiarity with XML for structuring and storing data in a readable format is necessary. The candidate should understand XML's role in data representation and manipulation, enabling efficient data exchange and interoperability.
Exposure to Python
A basic understanding of the Python programming language for data manipulation, scripting, and automation is expected. Python proficiency enhances the candidate's ability to develop custom data processing solutions and automate repetitive tasks.
MS Excel
Proficiency in Microsoft Excel for data analysis, reporting, and visualization is vital. The candidate should be capable of utilizing Excel's features to perform data manipulation, generate insightful reports, and create visually appealing dashboards.
Skills Required
Structured Query Language (SQL)
Proficiency in SQL is essential for querying and manipulating relational databases. The candidate should be adept at writing complex SQL queries to extract, transform, and analyze data efficiently.
Oracle Database
Experience with Oracle Database is necessary, considering its widespread usage in enterprise environments. The candidate should be familiar with Oracle's features and best practices for data management and optimization.
Python (Programming Language)
Proficiency in Python programming language enables the candidate to develop custom data processing scripts, automate workflows, and implement data-driven solutions effectively.
SQL Query Writing
The ability to write efficient SQL queries is crucial for retrieving and manipulating data from relational databases. The candidate should possess strong SQL query writing skills to optimize data retrieval and processing.
FME
Expertise in FME is essential for data integration, transformation, and automation tasks. The candidate should be proficient in leveraging FME's capabilities to streamline data workflows and ensure data quality.
Role Responsibilities
Execute Engineering Assignments
Execute engineering assignments within specified deadlines, ensuring adherence to quality standards and project requirements. The candidate should demonstrate a proactive approach to problem-solving and be capable of handling multiple assignments simultaneously.
Project Management
Manage projects or specific segments of projects, leveraging comprehensive knowledge of engineering principles and related disciplines such as quality control and time and motion studies. The candidate should possess strong project management skills to ensure successful project delivery.
Collaboration
Collaborate with team members and stakeholders to understand project objectives and deliverables, providing regular updates on progress and addressing any issues that may arise. Effective communication and collaboration skills are essential for fostering a productive work environment.
Review Work
Review work in detail, seeking guidance as needed, and providing limited technical guidance to junior professionals or technicians involved in collaborative projects. The candidate should demonstrate a commitment to continuous improvement and mentorship.
Qualifications
Possess a bachelor’s degree in a relevant field and demonstrate one to four years of practical experience in a similar role. The candidate should have a strong academic background coupled with hands-on experience in data engineering and related disciplines.
Location
Hyderabad, India
Desirable Skills
In addition to the required skills, proficiency in the following areas is desirable:
- Mapping
- AutoCAD
- ArcGIS Pro
These skills further enhance the candidate's ability to work with spatial data and geospatial technologies, enabling them to tackle diverse data engineering challenges effectively.
Designation
Associate
The role of an Associate Data Engineer entails contributing to various data engineering projects under the guidance of senior team members. It serves as a stepping stone for career growth and development in the field of data engineering.
Please click here to apply.
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