Job highlights

- You will be responsible for real-time and batch data operations,job monitoring,pipeline health checks,and handling failures

- Key Responsibilities: Monitor,schedule,and troubleshoot batch and streaming data pipelines

- Required Skills &

Qualifications: Experience with Databricks for managing notebooks and pipelines

- Hands-on experience with Snowflake data warehouse operations

Job Title: RunOps Support Data Pipelines

Job Type: Full-Time

Location: Remote

About Us

At micro1 were building the worlds first AI recruitment engine to match the worlds most talented people with their dream jobs

As a core team member, youll be at the forefront of AI innovation, contributing to our companys expansion while collaborating with Silicon Valleys fastest-growing companies

Youll thrive in a supportive, fast-paced, and innovative environment, tackling exciting challenges while unlocking unparalleled career growth and development

Job Summary

We are hiring RunOps Support Engineers for our Data Pipelines team to support and maintain critical ETL/ELT workflows

You will be responsible for real-time and batch data operations, job monitoring, pipeline health checks, and handling failures





This role requires deep understanding of Databricks, SQL, Snowflake, and AWS-based data ecosystems

Key Responsibilities

Monitor, schedule, and troubleshoot batch and streaming data pipelines

Provide L1/L2 operational support for jobs in Databricks, Snowflake, and AWS-based data frameworks

Analyze job failures, logs, and resolve incidents or escalate as needed

Optimize SQL queries and ensure data integrity and freshness

Document and update SOPs, runbooks, and dashboards for pipeline health

Collaborate with data engineers to improve system reliability and performance

Lead efforts on root cause analysis and long-term fixes (senior/lead level)

Required Skills & Qualifications:

Experience with Databricks for managing notebooks and pipelines

Robust in SQL and data analysis for debugging data failures

Hands-on experience with Snowflake data warehouse operations

Familiarity with AWS services used in data engineering workflows (S3, Glue, Lambda, etc )

Ability to handle production incidents, alerts, and automate resolutions

Strong problem-solving, documentation, and communication skills

📌 RunOps Support Data Pipelines (Pune)
🏢 micro1
📍 Pune