Job Overview
Job TitleData Engineering Lead
Job TypeFull Time
Offered Salary$130,000
LocationBengaluru East, Karnataka, India
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Job Description
Job Summary
Infosys is seeking a Data Engineering Lead to design, develop, and implement data solutions. This role involves leading projects, building robust data pipelines, and ensuring data quality and integrity. You will collaborate with cross-functional teams and optimize existing data architectures.
Responsibilities
- Lead the design, development, and implementation of ETL processes to ensure efficient data flow and integration.
- Utilize Python to build robust data pipelines and automate data processing tasks.
- Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
- Optimize and maintain existing data architectures for scalability and performance.
- Ensure data quality and integrity through rigorous testing and validation processes.
Minimum Qualifications
- Bachelor's degree in Technology (Btech) or a related field.
- Proven experience (5-8 years) in data engineering with a strong focus on Python and ETL processes.
- Proficiency in SQL for data manipulation and querying.
Preferred Qualifications
- Experience in leading data engineering projects and teams.
- Strong analytical and problem-solving skills with a focus on data-driven decision making.
- Familiarity with cloud platforms and big data technologies.
- Excellent communication skills for effective collaboration with stakeholders.
- Ability to adapt to new technologies and continuously improve data engineering practices.
Good to have skills
- Flask, Pandas, Data Analysis, Cloud Platforms, Big Data Technologies
Key skills/competency
- Data Engineering Lead
- Python
- ETL processes
- SQL
- Data Pipelines
- Data Architecture
- Cloud Platforms
- Big Data Technologies
- Data Quality
- Team Leadership
How to Get Hired at Infosys
- Tailor your resume: Highlight your 5-8 years of data engineering experience, Python, ETL, and SQL skills. Emphasize any leadership or project management experience.
- Showcase relevant projects: Detail your experience with cloud platforms, big data technologies, and data-driven decision-making in your application and during interviews.
- Prepare for technical questions: Be ready to discuss ETL design, Python scripting, SQL querying, and your approach to data quality and architecture optimization.
- Demonstrate leadership: Prepare examples of how you've led teams, collaborated with stakeholders, and driven improvements in data engineering practices.
- Research Infosys: Understand their technology focus, company values, and recent projects to align your responses during the interview process.
Frequently Asked Questions
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01What specific experience is required for the Data Engineering Lead role at Infosys?
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05Does Infosys offer opportunities for continuous learning and skill development for Data Engineering Leads?
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