Senior Data Engineer
- Posted 3 days ago
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Job Description
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Job Description:
About The Role
The Senior Data Engineer collaborates with a multidisciplinary Agile team to build high-quality data pipelines that drive analytic solutions. This role focuses on integrating and managing data to generate insights, enabling advanced data-driven decision-making capabilities.
How you will contribute
Locations:
IND - Bengaluru
Worker Type:
Employee
Worker Sub-Type:
Regular
Time Type:
Full time
Job Description:
About The Role
The Senior Data Engineer collaborates with a multidisciplinary Agile team to build high-quality data pipelines that drive analytic solutions. This role focuses on integrating and managing data to generate insights, enabling advanced data-driven decision-making capabilities.
How you will contribute
- Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
- Define data requirements, gather and mine large-scale structured and unstructured data, and validate data using various data tools in the Big Data Environment
- Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value
- Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity
- Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
- Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives
- Mentor and coach other data and analytic professionals on data standards and practices
- Expert in designing and maintaining scalable data architectures, capable of handling complex data systems.
- Proficient in SQL and other data manipulation languages, with a strong ability to optimize and troubleshoot queries.
- Skilled in DevOps practices and continuous integration to enhance workflow efficiencies.
- Experienced in software development methodologies, contributing to both project and operational goals.
- Knowledgeable in data structures and algorithms, enhancing data processing and storage solutions.
- Familiar with distributed data technologies like Spark and Hadoop, capable of managing large-scale data operations.
- Efficient in system integration, ensuring seamless data flow and connectivity across platforms.
- Proficient in programming languages such as Python, Scala, Java, and C++, applying them effectively in data engineering tasks.
- Experienced in SQL database management, performance tuning, and complex query handling.
- Skilled in cloud platform deployment and tools like Kubernetes, optimizing cloud-based data solutions.
- Capable of performing advanced troubleshooting and guiding others through complex problem-solving processes.
- Advanced in PL/SQL and MongoDB, providing guidance and advice on complex database programming and optimization.
Locations:
IND - Bengaluru
Worker Type:
Employee
Worker Sub-Type:
Regular
Time Type:
Full time




