PUNE · FULLTIME
SDE III Data Engineer
Actualize
Pune · onsite · Posted 62d ago
Sourced from
Not disclosed5–7 yrsfulltimePune
About a minute. You'll make an account on the way through.
agent · working
- Read this posting0.7s
- Found the form on Foundit · 11 questions to answer1.0s
- Decided the answers for all of them2.6s
- Tailor your résumé to this role
- Waiting for you
Section · 01
About this role
Essentials for Being Successful in This Role
- Minimum 5 years of experience in software development and system design
- Minimum 2 years of experience as a Data Engineer focused on data modelling, governance, and platform administration.
- Expertise in Snowflake or similar MPP databases.
- Strong SQL skills.
- Experience with multiple database technologies (MSSQL, PostgreSQL, OLAP, OLTP).
- Familiarity with ETL/ELT tools and methodologies.
- Experience with database health monitoring, stored procedures, and schema design.
- Practical understanding of data governance principles.
- Experience with cloud environments (SaaS, PaaS, IaaS).
- Strong communication skills, both written and verbal.
- Experience in technical design and documentation.
- Proficiency with source control systems (Git, Gitflow).
- Experience with Agentic AI (Claude, GPT, etc.).
Desirables (Nice to Have)
- Familiarity with Generative AI and Spec-Driven Development.
- Experience with test automation.
- Experience with Kafka, Azure Event Hubs, Azure Service Bus.
- Knowledge of CI/CD practices.
- Ability to work independently and within Agile teams.
- Experience with Azure cloud services.
- Exposure to Master Data Management (MDM).
- Python skills for data transformation and pipeline automation.
- Understanding data mesh principles.
- Strong prioritization and multitasking abilities.
Roles & Responsibilities
- Designing, building, testing, and maintaining scalable data models using Apache Airflow and Python.
- Administering Snowflake environments, monitoring system health and performance.
- Managing and optimizing Snowflake virtual warehouses for efficiency and cost-effectiveness.
- Managing the MLOps workflow through Snowflake registrations and Snowpark.
- Promoting self-service and decentralized data ownership across teams.
- Enforcing data governance policies to ensure standardization, quality, and compliance.
- Providing technical assistance and cross-training to team members.
- Participating in design sessions and creating technical design documents and diagrams.
- Conducting code reviews and offering constructive feedback.
- Mentoring engineers to support team growth and development.
- Collaborating with senior engineers in the Architecture Review Board.
- Ensuring delivery quality and supporting production services.
Sourced from foundit
Section · 02
Skills
Database health monitoringPostgresqlclaudeStored ProceduresIaaSPaaSOLTPolapapache airfloweltschema designGitFlowCloud environmentsPythonSAASSQLData GovernancegptSnowflakeETLAgentic AiSQL ServerGIT