Senior Data Engineer
Location : Bangalore (Onsite + Southeast Asia Travel)
Experience : 5 to 10 Years
Client Exposure : SEA-based Multinational Client (6 months 1 year onsite opportunity)
About The Role
We are looking for an experienced Senior Data Engineer to build and manage modern, scalable data platforms for enterprise clients.
This role involves designing robust data pipelines, optimizing data architecture, and enabling analytics and ML-driven decision-making.
This opportunity offers the agility of a consulting environment along with direct exposure to global business leaders. It requires flexibility, onsite presence, and the ability to work in dynamic, cross-border environments.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines (batch & real-time)
- Build and optimize data models, schemas, and architectures
- Implement data quality frameworks, monitoring, and alerting systems
- Collaborate with data scientists, analysts, and business stakeholders
- Optimize query performance and manage data storage costs
- Maintain and enhance data lakes, data warehouses, and streaming platforms
- Implement data governance (lineage, cataloging, access control)
- Participate in code reviews and mentor junior engineers
- Document technical solutions and best practices
Required Experience
- 5 to 10 years of hands-on data engineering experience
- Strong experience building production-grade data pipelines
- Experience with at least one modern data platform such as
- Databricks
- Snowflake
Experience With Cloud Platforms
- Amazon Web Services (S3, Glue, EMR, Kinesis, Redshift)
- Microsoft Azure (ADF, Synapse, Event Hubs)
- Google Cloud Platform (BigQuery, Dataflow, Pub/Sub)
Languages
Technical Skills :
- Strong proficiency in Python and SQL
Open-Source Tools
- Apache Spark
- Apache Kafka
- Apache Airflow
- dbt, Dagster
- Pandas (Polars is a plus)
Data Expertise
- Dimensional modeling
- Data warehouse & data lake architecture
- Data mesh concepts
- Real-time & streaming architectures
MLOps (Preferred)
- Model training & inference pipelines
- AutoML approaches
- Model monitoring & maintenance
Additional
- Infrastructure as Code (Terraform / Pulumi)
- Docker & Kubernetes
- Git + CI/CD for data workflows
- Data security & governance frameworks
Preferred Qualifications
- Experience with both Databricks and Snowflake
- Knowledge of MLOps practices
- Contributions to open-source projects
- Cloud or data certifications
- Experience with visualization tools (Tableau, Power BI, Looker)
- Industry exposure : Finance, Healthcare, E-commerce
What Were Looking For
- Strong analytical and problem-solving skills
- Excellent communication abilities
- Self-driven and ownership mindset
- Experience in agile environments
- Ability to balance quality with timely delivery
- Passion for modern data engineering technologies
(ref:hirist.tech)
