Data Engineer

4 Months ago • 4-6 Years

Data Analysis

Job Description

This Data Engineer role involves the development, maintenance, and optimization of software solutions. The responsibilities include analyzing and solving software engineering problems, applying software engineering practices, and collaborating with other engineers and stakeholders. The role requires original thought, judgment, and the ability to supervise technical and administrative work. The engineer should possess strong technical skills, including proficiency in Python, PySpark, SQL, Power BI, Databricks, Azure/AWS, and Machine Learning. The ideal candidate should have experience in building predictive models, data wrangling, and communication skills.

Good To Have:

Master’s degree in data science, AI, or related field.
Familiarity with AI concepts like neural networks and NLP.
Experience with Databricks and Azure/AWS.

Must Have:

BE/B.Tech or ME/M.Tech in CSE/IT, Statistics, or related.
Proficiency in Python, PySpark, and SQL.
Advanced Power BI skills for dashboards and data models.
Experience in building predictive models using ML algorithms.
Strong communication and stakeholder management skills.

Add these skills to join the top 1% applicants for this job

cross-functional

communication

team-player

data-analytics

aws

azure

data-visualization

power-bi

data-science

numpy

scikit-learn

pytorch

reinforcement-learning

pandas

neural-networks

python

sql

algorithms

tensorflow

machine-learning

Job Description

Data Engineer Description:

Degree and Qualification:
• BE/B.Tech, ME/M.Tech in CSE/IT, Statistics, or a related field.
• Master’s degree in data science, AI, or a related field is preferred.
Number of Years of Experience as a Data Analyst / Scientist: 3-8 years

Language Skills:
• Good communication skills in English, proficiency in German is an added advantage.

Domain Knowledge:
• Strong understanding of supply chain and supplier performance evaluation processes.
• Familiarity with procurement, supplier management, inbound processes, and logistics concepts like goods receipt, delivery note, and part numbers.
• Basic knowledge of plant logistics and operational efficiency.
Technical Skills: Python, PySpark, SQL, Power BI (Advanced Level), Databricks, Azure/AWS, Machine Learning, Data Visualization, TensorFlow, PyTorch, and deploying ML models in production.

Digital Expertise:

1. Power BI Desktop (advanced):
o Advanced knowledge of building dashboards, creating data models, and writing DAX expressions,
o Ability to develop custom visualizations in Power BI using Python scripts / other suitable methods to create charts and data representations not supported natively by Power BI
o Ability to write Python scripts to process and transform data within Power Query for advanced analytics and visualization scenarios.
o Strong design / Power BI UI/ UX skills to ensure Power BI dashboards aligns with business objectives and effectively tells a data-driven story.
o Power BI Service (advanced):: Experience in publishing, refreshing, and managing reports in Power BI Service, including RLS and data gateways.
2. Machine Learning & AI:
o Experience in building predictive models using machine learning algorithms such as regression, classification, clustering, and anomaly detection.
o Familiarity with AI concepts like neural networks, NLP, or reinforcement learning.
3. Data Wrangling & Analysis:
o Proficiency in Python and popular data libraries like Pandas, NumPy, and Scikit-learn.
o Experience in PySpark for distributed data processing and large-scale data transformation.
o Strong SQL skills for querying relational databases, optimizing queries, and handling complex datasets.
4. Communication & Stakeholder Management:
o Ability to effectively communicate technical insights to non-technical stakeholders.
o Strong customer-facing communication skills and experience collaborating with cross-functional teams.

Behavioral / Personal Skills:
• Willingness to learn and apply new skills.
• High adaptability and readiness to handle unstructured tasks.
• Strong analytical mindset, with a focus on problem-solving and result-oriented thinking.
• Team player with excellent communication and interpersonal skills.

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

Job Description - Grade Specific

Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.

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