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Principal Data Engineer
4-7 years
Bangalore / Bengaluru
1 vacancy
Principal Data Engineer
Maxim Integrated
posted 1mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
As a Principal Data Engineer, you will be responsible for leading the design, development, and implementation of advanced data solutions that support our enterprise-wide data strategy. This role involves driving the architecture, development, and optimization of a scalable, secure data platform that powers advanced analytics and data-driven decision-making across the organization. The successful candidate will be instrumental in shaping the data ecosystem, providing thought leadership, and mentoring a team of skilled data engineers.
Responsibilities
- Lead the design and development of the data platform, ensuring it meets current and future business needs. Architect data models, storage, and processing solutions that balance performance, scalability, and maintainability.
- Perform hands-on development work on data analysis, data provisioning, data modeling, performance tuning, and optimization.
- Perform design and development in technologies like Fivetran, Snowflake, DBT, Python, SQL, Spark, Kubernetes, Kafka and utilize cloud technologies like Azure, AWS, and GCP.
- Experience working with petabyte scale structured / semi-structured / unstructured data efficiently by designing, building and maintaining robust data processing frameworks for enabling actionable insights and analytics.
- Define and enforce best practices for data engineering, including coding standards, source control, and CI/CD processes to minimize technical debt and ensure high-quality code deployments.
- Create dashboards using enterprise tools such as Tableau and PowerBI.
- Experience in vector, graph and NoSQL databases for complex data use-cases.
- Ensure the reliability, performance, and security of data platforms and solutions.
- Provide technical guidance and support to team members, fostering a culture of collaboration, innovation, and continuous improvement.
- Work closely with business unit leaders, data scientists, and analysts to understand their requirements and translate them into robust technical solutions on the Enterprise Data Platform.
- Implement data governance practices, ensuring data security, compliance, and quality controls, especially when handling sensitive or high-risk data.
- Scope key business challenges, identify the right data, and provide direction to data analysts, product managers, data scientists, and data engineers.
- Drive innovation by creating new frameworks, standards, prototypes, and automation projects.
- Stay current with emerging trends and technologies in data engineering and analytics, driving the adoption of new tools and technologies.
Qualifications:
- Bachelor s or master s degree in computer science, Engineering, or a related field.
- 15+ years of experience in data engineering, with a focus on designing and implementing large-scale data solutions.
- Proven experience in a lead role, capable of driving projects and collaborating with cross-functional teams.
- Strong proficiency in SQL, Python, big data technologies (Hadoop, Spark, Presto, Hive), containerization (Kubernetes), and cloud technologies like Snowflake, DBT, Dagster, etc.
- Experience designing, building and maintaining frameworks to handle large data volumes, streaming data use-cases using technologies like Kafka, to handle IOT / sensor/edge device data.
- Experience building on at least one of the cloud technologies (AWS, GCP, Azure).
- Deep understanding of data modeling, ELT processes, medallion architecture, open file formats and data integration techniques.
- Outstanding communication and interpersonal skills, with the ability to engage effectively with technical and non-technical stakeholders.
- Strong problem-solving skills and a proactive approach to identifying and addressing challenges.
- Strong Knowledge of data governance, security, and compliance best practices.
EEO is the Law: Notice of Applicant Rights Under the Law .
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
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