Senior Data Engineer.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a leading global computer software firm specializing in advanced data analytics and digital transformation solutions. They empower enterprises to leverage data-driven insights to solve complex business challenges at scale. With a culture focused on innovation and technical excellence, they provide a collaborative environment for top-tier engineering talent.
About the role.
We are seeking a highly skilled Senior Data Engineer to architect and implement robust data solutions on the Google Cloud Platform. You will lead the development of end-to-end data pipelines, ensuring high performance, scalability, and reliability for complex datasets. This role is pivotal in driving data integration strategies and automating transformation processes within a hybrid work environment.
What you will do.
- Architect and implement scalable data solutions using Google Cloud Platform components.
- Design and maintain end-to-end data pipelines using Apache Beam, Google Dataflow, and Apache Spark.
- Develop and optimize data integration and preparation tools to support complex business requirements.
- Identify and mitigate downstream implications of data migrations, including data quality and regulatory compliance.
- Automate the ingestion, transformation, and augmentation of diverse data sources.
- Provide technical leadership and establish best practices for pipeline operations and maintenance.
- Collaborate with cross-functional teams to enable simplified user access to massive datasets.
What you bring.
- 12–15 years of professional experience in IT delivery or large-scale IT analytics projects.
- Expert-level proficiency in Google Cloud Platform and its core data services.
- Advanced SQL development skills and extensive experience in data mining and warehousing.
- Strong programming expertise in Scala, Python, and Java.
- Proven experience with BigQuery, Cloud Functions, Dataproc, and Pub/Sub.
- Deep understanding of relational, analytical, and NoSQL database technologies.
- Google Professional Data Engineer or Solution Architect certification is highly preferred.
- Ability to thrive in a rapidly changing business environment.
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