Data Engineering Lead
Infosys · Bengaluru East, Karnataka, India
- On site
- Full-time
- $130,000 / year
- Bengaluru East, Karnataka, India
Job highlights
- Lead data engineering projects and team.
- Design and implement robust ETL processes.
- Develop data pipelines using Python.
- Optimize data architectures for performance.
- Ensure data quality and integrity.
About the role
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
Skills & topics
- Data Engineering Lead
- Data Engineering
- Python
- ETL
- SQL
- Data Pipelines
- Big Data
- Cloud Platforms
- Team Leadership
- Technology
How to get hired
- 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.
Technical preparation
Master Python for data pipeline automation.,Practice complex SQL queries and optimization.,Design end-to-end ETL processes.,Study cloud and big data technologies.
Behavioral questions
Describe a challenging data project you led.,How do you ensure data quality?,How do you collaborate with stakeholders?,How do you adapt to new technologies?
Frequently asked questions
- What specific experience is required for the Data Engineering Lead role at Infosys?
- The Data Engineering Lead position at Infosys requires a Bachelor's degree in Technology or a related field, with 5-8 years of proven experience in data engineering. Key technical skills include strong proficiency in Python, ETL processes, and SQL for data manipulation and querying. Leadership experience is also highly valued.
- What are the main responsibilities of a Data Engineering Lead at Infosys?
- As a Data Engineering Lead at Infosys, your primary responsibilities include designing and implementing ETL processes, building robust data pipelines using Python, collaborating with cross-functional teams to meet data requirements, optimizing data architectures for scalability and performance, and ensuring data quality and integrity through rigorous testing.
- What 'good to have' skills are beneficial for the Data Engineering Lead position at Infosys?
- In addition to the core requirements, 'good to have' skills for the Data Engineering Lead role at Infosys include familiarity with Flask, Pandas for data analysis, broader Cloud Platforms, and Big Data Technologies. These skills can significantly enhance your application and on-the-job performance.
- How important are leadership and communication skills for this role?
- Leadership and communication skills are crucial for the Data Engineering Lead role at Infosys. You will be expected to lead data engineering projects and teams, collaborate effectively with stakeholders, and communicate technical concepts clearly. Experience in leading teams and strong analytical problem-solving abilities are highly preferred.
- Does Infosys offer opportunities for continuous learning and skill development for Data Engineering Leads?
- Yes, Infosys values continuous improvement. The job description emphasizes an ability to adapt to new technologies and continuously improve data engineering practices, suggesting a culture that supports professional development for its Data Engineering Leads.