Lead Data Ops Engineer

About Us:

FirstHive is a USA headquartered company with operations and customers across the US, India, and ASEAN and is a premier global Customer Data Platform - a tool for consumer marketing enterprises to consolidate all their opt-in first-party consumer data.

We are building an AI led marketing tech product that is changing the fabric of marketing globally We are proud to be building this bleeding edge product from our India Innovation & Research Centre, competing & being recognized in the global marketplace.

Do you have it in you to and the ? Then, read ahead. Partner with us on this journey to building a world leading product, FirstHive.

What is FirstHive?

FirstHive is a Customer Data Platform (CDP) that delivers a disproportionate jump in Marketing ROI for consumer marketing companies. We are the world's first CDP to use Machine Learning to build Unified Customer Identities by ingesting data from across all sources of customer interactions and customer transactions (viz. ERP, CRM, Website, Social, PoS, mobile app, voice, customer care, etc.).

As these identities get built, FirstHive's AI & ML layer assists the marketer with predictive recommendations on audience creation and cross device-cross tool - cross channel campaign execution.

FirstHive is a highly recognized name in the CDP ecosystem, winning multiple awards & recognition. FirstHive is led by a high-powered, deep expertise leadership team planning collectively over 80 years across Marketing, Product, Engineering & Data Sciences. FirstHive has presence in USA & Asia.

Job Designation: Senior Data Ops Engineer – Team Lead

Job Location: Bengaluru

Key Responsibilities:

• Leadership & Team Management
• Lead and mentor a team of DataOps engineers in designing and maintaining robust data pipelines.
• Plan, assign, and review team tasks to ensure timely and quality delivery.
• Collaborate with data engineers, data scientists, and business teams to prioritize data needs and ensure alignment with organizational goals.
• Drive best practices in coding standards, documentation, and deployment automation.
• Technical Delivery
• Design and implement scalable ETL/ELT pipelines using Pentaho, StreamSets, and Python-based frameworks.
• Manage real-time and batch data ingestion using Kafka for streaming and MySQL/Snowflake for storage and transformation.
• Implement and maintain data quality checks, validation, and reconciliation frameworks.
• Ensure pipeline observability, error handling, and alerting mechanisms for proactive issue resolution.
• Optimize Snowflake and MySQL queries for performance and cost efficiency.
• Lead migration or modernization initiatives (e.g., on-prem to Snowflake/cloud).
• Governance & Operations
• Maintain data security, access control, and compliance with enterprise standards.
• Define and track DataOps KPIs such as pipeline success rates, latency, and data quality metrics.
• Partner with Infrastructure and DevOps teams for seamless environment management and scalability.

Technical Skills Required:

Databases:

• Strong expertise in MySQL (query optimization, stored procedures, schema design).
• Advanced knowledge of Snowflake (data modelling, performance tuning, cost optimization).

ETL & Data Pipeline Tools:

• Hands-on experience with Pentaho Data Integration (Kettle) and/or StreamSets for ETL/ELT automation.

Streaming:

• In-depth understanding of Apache Kafka (topic configuration, producer/consumer setup, schema registry, stream processing).

Programming:

• Proficient in Python for data automation, transformation scripts, and integration with APIs.

Monitoring & Observability:

• Familiarity with Grafana, Prometheus, or similar tools for performance and error tracking.

Cloud:

• Exposure to AWS/Azure/GCP data stack (S3, Lambda, Glue, Dataflow, etc.).

Why work with us?

· Opportunity to work with a fast-growing B2B SaaS startup this side of the ocean.

· Great growth opportunities and competitive remuneration.

· Chance to work with some seriously smart folks.

· A team of colleagues fueled by collaboration and a company deeply committed to integrity and responsibility.

Job Types: Full-time, Permanent

Pay: ₹1,900, ₹2,000,000.00 per year

Benefits:

• Commuter assistance
• Health insurance
• Paid sick time
• Provident Fund

Experience:

• ETL: 7 years (Required)

Work Location: In person