Lead Data Engineer
Amada Global · Bengaluru · onsite · Posted 69d ago
Undisclosed4–7 yrsfulltimeSourced from
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About this role
Job Summary
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
We are looking for a Lead Data Engineer to lead the effort for designing, building, and maintaining robust, scalable, and high-performance data infrastructure. In this role, you will work on end-to-end data pipelines, ensuring reliable data availability for analytics, machine learning, and business applications.
Responsibilities - Lead mentor a team of Data Engineers - code reviews, design reviews, growth plans
- Design and operate ETL/ELT pipelines in Python for batch and streaming workloads
- Own data modelling across PostgreSQL / Supabase (OLTP) and Cassandra (wide-column)
- Build and run orchestration on Apache Airflow - DAG design, SLAs, retries, backfills
- Deploy and operate the platform on AWS (EC2-based, self-managed stack)
- Establish data governance: catalog, lineage, ownership, MDM, data quality, profiling, observability
- Drive engineering excellence - Agile delivery, CI/CD, testing, IaC, code review
Treat the data platform as a long-lived product, not a project:
- Own outcomes across the full lifecycle - design, delivery, operations, iteration
- Optimise for scale, reliability, and maintainability with measurable SLAs and cost targets
- Prioritise based on user value (analytics, ML, product teams as customers)
- Ship iteratively; measure adoption, quality, and reliability continuously
- 5-8 years in data engineering with proven experience leading and mentoring engineers
- Expert Python and strong SQL
- Production experience with PostgreSQL, Supabase, and Apache Cassandra
- Hands-on ownership of Apache Airflow at scale
- Comfortable running data workloads on AWS EC2 (Linux, networking, self-managed services)
- Strong ETL, data modelling, orchestration fundamentals
- Practical experience implementing data governance - MDM, data quality, data profiling, observability, lineage/catalog
- Agile, CI/CD, and coding best practices as everyday habits
- Data security and compliance - encryption (KMS/at-rest/in-transit), PII handling, GDPR/PDPA
- Streaming (Kafka, Kinesis) and lakehouse (Iceberg, Delta) exposure
- IaC (Terraform, Ansible) for self-managed AWS stacks
Bachelor's or Master's in Computer Science, Engineering, or related field.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
AgileData EngineerCode ReviewApacheamazon web servicescassandradata infrastructureapache airflowAgile DeliveryAnalyticsAWS EC2Data EngineeringData GovernancecomplianceData PipelineAnsibleArtificial Intelligence
About Amada Global
Amada Global
Industrial Machinery
175
employees
1946
80 years old
Isehara
Japan
₹8.4L PA avg
Avg at Amada Global
About
Amada Global is a comprehensive manufacturer of metalworking machinery and solutions, focusing on customer-driven manufacturing efficiency and quality.
Industries
Hardware & NetworkingSoftware Product
Employee ratings
10 reviews
3.5/ 5
Culture
3.3
Career growth
2.6
Work-life
4.1
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