Experience
2 - 5 yrs
Salary (CTC)
₹9.6L - ₹13.9L
Job Location
Dehradun, India
Vacancy
1
Designation
Data Engineer
Job Type
Not specified
Job Description
- Work alongside a world-class team of business consultants and engineers to solve complex business challenges using data and analytics.
- Accelerate your career in a fast-paced, entrepreneurial work environment.
- Receive an industry- leading remuneration package.
Skills We Look for in Data Engineering Talent
- Proficiency in any of the emerging Big Data technologies: Python, Spark, Hadoop, Clojure, Git, SQL, Databricks, and visualization tools like Tableau and Power BI.
- Familiarity with cloud platforms, containerization, and microservice architectures will be a plus.
- Hands-on experience in data modeling, query optimization, and complexity analysis will be preferred.
- Understanding of agile methodologies (e.g., Scrum) and prior experience in agile work environments will be a plus.
- Ability to collaborate with development teams and product owners to gather and interpret requirements.
- Certifications in any of the above-mentioned will be a plus.
Key Responsibilities of a Data Engineer
- Develop data solutions in Big Data environments, particularly on Azure or other cloud platforms.
- Work with diverse datasets to support Data Science and Analytics teams.
- Design and build data architectures using tools such as Azure Data Factory, Databricks, Data Lake, and Synapse.
- Collaborate with the CTO, Product Owners, and Operations teams to develop engineering roadmaps, including upgrades, technical refreshes, and new implementations.
- Perform data mapping activities to define source data, target data, and the necessary transformations.
- Support the Data Analytics team in creating KPIs and reports using tools like Power BI and Tableau.
- Execute data integration, transformation, and modeling tasks.
- Maintain comprehensive documentation and knowledge bases.
- Research and recommend new database products, services, and protocols.
Essential Personal Traits:
- You should be able to work independently and communicate effectively with remote teams
- Timely communication/escalation of issues/dependencies to higher management.
- Curiosity to learn and apply emerging technologies to solve business problems
- A strong willingness and eagerness to learn, adapt, and continuously improve by exploring new tools, technologies, and methodologies in the ever-evolving data engineering landscape.