Data Engineer
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Salary
≈ $22k – $44k per year (Estimated)
Location
Hybrid (Bengaluru, India)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 5, 2026. First seen by Alion on Sep 22, 2026.
Overview
Company
Impact
Profile match
Symphoni HR is an executive search and specialist recruitment firm headquartered in Malad West, Mumbai, handling board, CEO and CXO appointments alongside technology hiring, recruitment process outsourcing, project hiring and fractional leadership services. Established in 2003, it reports more than 100,000 candidates hired and over 5,000 C-suite and senior mandates for 300+ clients across practices such as global capability centres, financial services, technology, industrial and healthcare. The roles on its board are client vacancies, mostly in Mumbai, Bengaluru and Pune, for Java and C++ developers, data engineers, DevOps and GenAI engineers, business analysts and project managers.
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.
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.
Responsibilities
- 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.
Requirements
- 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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