Senior Data Engineer (Snowflake) Job at LeverX

Senior Data & AI Innovation Engineer

We are seeking a highly proactive, self-driven Senior Data & AI Engineer to serv...

Location

Singapore , Singapore

Salary:

7000.00 - 8000.00 SGD / Month

Randstad

Expiration Date

January 08, 2026

Requirements

Proven, hands-on experience in implementing and supporting practical AI use cases (beyond academic study), understanding how to embed AI components into existing services
4+ years of hands-on experience in implementing and operating Snowflake Data Cloud in a production environment
Certification (e.g., SnowPro Data Engineer) is highly desirable
Familiarity with MLOps concepts and tools (e.g., Docker, MLflow, LangChain) and an understanding of LLMs, RAG pipelines, and generative AI deployment
Strong programming skills in Python for data manipulation, scripting, and AI model support

Job Responsibility

Proactively identify, design, and implement initial AI Proof-of-Concepts (POCs) across the APAC region, focusing on quick-win solutions like AI-powered chatbots and intelligent inventory monitoring systems
Analyze business processes to identify areas where AI components can be effectively embedded to solve immediate business challenges
Partner with business stakeholders to understand AI data needs, perform data engineering/prep, and ensure data readiness to support and sustain deployed AI models
Stay ahead of technology trends, perform proactive research on Data and AI solutions, and evangelize new capabilities to regional teams
Act as the APAC SME, collaborating closely with cross-regional peers and global teams to contribute to and align with the company Global Data Platform roadmap (Snowflake)
Define and execute the complete migration strategy from legacy data warehouses/databases (e.g., PostgreSQL, MS SQL) to the Snowflake Data Cloud platform
Design, build, and optimize scalable, robust ETL/ELT data pipelines to curate raw data into BI and Advanced Analytics datasets
Implement and manage Snowflake governance, including access control, data security, usage monitoring, and performance optimization aligned with global best practices

Senior Data Platform Engineer

We are looking for an experienced data engineer to join our platform engineering...

Location

United States

Salary:

141000.00 - 225600.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering, software engineering with a data focus, data science, or a related role
Knowledge of designing data pipelines from a variety of source (e.g. streaming, flat files, APIs)
Proficiency in SQL and experience with relational databases (e.g., PostgreSQL)
Experience with real-time data processing frameworks (e.g., Apache Kafka, Spark Streaming, Flink, Pulsar, Redpanda)
Strong programming skills in common data-focused languages (e.g., Python, Scala)
Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Prefect, Temporal)
Familiarity with AWS-based data solutions
Strong understanding of data warehousing concepts and technologies (Snowflake)
Experience documenting data dependency maps and data lineage
Strong communication and collaboration skills

Job Responsibility

Design, implement, and maintain scalable data pipelines and infrastructure
Collaborate with software engineers, product managers, customer success managers, and others across the business to understand data requirements
Optimize and manage our data storage solutions
Ensure data quality, reliability, and security across the data lifecycle
Develop and maintain ETL processes and frameworks
Work with stakeholders to define data availability SLAs
Create and manage data models to support business intelligence and analytics

What we offer

Competitive salary and 401k with employer match
Discretionary time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Development Programs
Snacks in our offices

Senior Data Engineer II

We are looking for a skilled Data Engineer to join our growing team. You will pl...

Location

India , Hyderabad

Salary:

Not provided

Alter Domus

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
3+ years of experience as a Data Engineer or in a similar role working with cloud-based data platforms
Technical Skills: Cloud & Orchestration: Airflow (self-managed or managed services like Amazon MWAA) for workflow orchestration, DAG development, and scheduling
Familiarity with best practices for Airflow DAG structure, dependency management, and error handling
AWS Expertise: Hands-on experience with AWS Lake Formation, S3, Athena, and related services (e.g., Lambda, Glue, IAM)
Snowflake: Proficient in setting up data warehouses, configuring security, and optimizing queries on Snowflake
Data Ingestion & Transformation: Experience with Airbyte or similar tools for data ingestion
dbt or other SQL-based transformation frameworks for modular data processing
Programming: Proficiency in Python and/or Java/Scala for building data pipelines and custom integrations
Query Languages: Advanced knowledge of SQL for data manipulation and analysis

Job Responsibility

Data Pipeline Orchestration: Design, build, and maintain end-to-end data pipelines using Airflow (including managed services like Amazon MWAA) to orchestrate, schedule, and monitor batch/streaming workflows
Implement DAGs (Directed Acyclic Graphs) with retry logic, error handling, and alerting to ensure data quality and pipeline reliability
Data Ingestion & Transformation: Integrate data from various sources using Airbyte for ingestion and dbt for transformations in a scalable and modular fashion
Collaborate with Data Analysts and Data Scientists to implement transformations and business logic, ensuring data is analytics-ready
Data Modeling & Warehousing: Design and implement efficient data models for both structured and semi-structured data in AWS S3 (data lake) and Snowflake (data warehouse)
Ensure data schemas and transformations support advanced analytics, BI reporting, and machine learning use cases
Data Governance & Security: Utilize AWS Lake Formation APIs and best practices to maintain data security, access controls, and compliance
Work closely with IT security to establish robust encryption standards, audit trails, and identity/role-based access
Performance Optimization: Optimize AWS Athena queries and configurations (e.g., data partitioning) for performance and cost efficiency
Monitor and tune Airflow DAGs, Snowflake queries, and data transformations to improve throughput and reliability

What we offer

Support for professional accreditations
Flexible arrangements, generous holidays, plus an additional day off for your birthday
Continuous mentoring along your career progression
Active sports, events and social committees across our offices
24/7 support available from our Employee Assistance Program
The opportunity to invest in our growth and success through our Employee Share Plan
Plus additional local benefits depending on your location