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 professional services firm operating at the intersection of finance and technology. They provide high-impact consulting and advisory services to a diverse range of international clients. The organization is known for its commitment to innovation, professional development, and fostering a collaborative, high-performance culture.
About the role.
We are seeking a Data Engineer to design, build, and maintain scalable data pipelines within cloud environments. You will play a critical role in transforming raw data into actionable insights by optimizing data architecture and ensuring high availability for our analytics platforms. This role offers the opportunity to work on complex data ecosystems in a hybrid work environment.
What you will do.
- Design and implement robust ETL/ELT pipelines to process large-scale structured and unstructured datasets.
- Manage and optimize cloud-based data warehouses and data lakes on AWS or Azure platforms.
- Collaborate with data scientists and analysts to support data modeling and reporting requirements.
- Monitor pipeline performance and troubleshoot data quality issues to ensure system reliability.
- Implement security best practices for data storage and movement across cloud environments.
- Maintain documentation for data architecture and pipeline workflows.
What you bring.
- Bachelor’s degree in Computer Science, Information Technology, or a related quantitative field.
- 5–8 years of professional experience in data engineering or a related field.
- Proficiency in cloud services such as AWS (Glue, Redshift, S3) or Azure (Data Factory, Synapse, ADLS).
- Strong programming skills in Python, Scala, or Java.
- Advanced knowledge of SQL and experience with NoSQL databases.
- Experience with big data frameworks like Apache Spark or Databricks.
- Familiarity with CI/CD pipelines and version control tools like Git.
- Experience with containerization (Docker, Kubernetes) and Infrastructure as Code (Terraform, CloudFormation) is a plus.
- Exposure to streaming technologies like Kafka or Kinesis.
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