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Wissen Infotech
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Senior Data Engineer

Senior Data Engineer

Wissen Infotech

7 - 12 years

20 - 25 Lacs

bengaluru

Posted:Just now| Platform:

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Skills Required

product engineering data modeling spark manager technology healthcare data processing business intelligence monitoring financial services python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Summary: We are seeking an experienced and passionate Senior Data Engineer to join our dynamic data engineering team. The ideal candidate will have deep expertise in building scalable data pipelines and distributed data processing systems using Python , Apache Spark , Kafka , and Snowflake/Databricks . This role involves designing, developing, and optimizing high-performance data solutions that enable advanced analytics and business intelligence across the organization.

Experience: 7 12 years

Location : Bangalore

Mode of Work : Full time hybrid

Key Responsibilities:

Design, build, and maintain robust, scalable data pipelines using Python and Apache Spark.

Integrate and process large volumes of data from diverse sources using Kafka and other streaming technologies.

Develop and optimize ETL/ELT workflows for structured and unstructured data.

Work with Snowflake and Databricks to enable efficient data storage, transformation, and analysis.

Implement data quality, validation, and monitoring frameworks to ensure accuracy and reliability.

Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable data solutions.

Optimize data workflows for performance, scalability, and cost efficiency in cloud environments (AWS/Azure).

Stay current with emerging technologies in data engineering and contribute to continuous improvement initiatives.

Ensure compliance with data governance, security, and privacy standards.

Requirements:

78 years of hands-on experience in data engineering or a related technical field.

Strong programming proficiency in Python for data manipulation, automation, and pipeline development.

Proven experience with Apache Spark or other distributed data processing frameworks (e.g., Hadoop).

Hands-on experience with Snowflake and/or Databricks for cloud-based data warehousing and analytics.

Experience with Kafka or similar message queues/streaming platforms.

Familiarity with cloud data platforms such as AWS or Azure and their associated data services (e.g., S3, Glue, Data Factory).

Solid understanding of data warehousing concepts, ETL design patterns, and data modeling.

Strong problem-solving, analytical, and debugging skills.

Excellent communication, collaboration, and stakeholder management skills.

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Senior Data Engineer