GCP Application Technical Specialist

HCL Technologies Limited; Bengaluru; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

HCLTech is seeking a Data & MLOps Engineer to evolve transaction monitoring analytics on Google Cloud Platform. You will design, build, and operate scalable data and ML solutions, while strengthening GCP engineering capabilities across the TM MLOps team.

You will work with data engineers and scientists to deploy, monitor, and govern data products and ML models in production, driving reliability, quality, and cloud adoption.

Qualifications

• Hands-on experience with data engineering and MLOps on GCP.
• Experience with data pipelines, orchestration and cloud-native data solutions is a plus.
• Familiarity with data governance, quality controls and monitoring practices.

Responsibilities

• Build and maintain data pipelines using SQL (BigQuery) and dbt.
• Develop cloud-native data solutions on GCP.
• Operationalise, monitor, and support ML models in production.
• Implement data quality, governance, lineage, and monitoring controls.
• Collaborate with Data Scientists and Engineers to deliver scalable solutions.
• Promote engineering best practices across Data Engineering and MLOps.

Skills

SQL

dbt

BigQuery

Job description

Role Purpose

Transaction Monitoring is evolving from traditional rule-based detection towards data-driven and AI-powered solutions that improve risk coverage, investigator effectiveness, and operational efficiency. We are looking for a Data & MLOps Engineer to help evolve our transaction monitoring analytics engineering and MLOps capabilities on Google Cloud Platform (GCP). You will design, build, and operate scalable data and machine learning solutions, while helping the team strengthen its GCP engineering expertise. The role combines Data Engineering, MLOps, and Cloud Engineering, ensuring that data products and machine learning models can be developed, deployed, monitored, and operated at scale.

Key Responsibilities

Key Responsibilities

• Build and maintain data pipelines using SQL (on BigQuery, using dbt), Spark, Airflow.
• Develop cloud-native data solutions on GCP.
• Operationalise, monitor, and support machine learning models in production.
• Implement data quality, governance, lineage, and monitoring controls.
• Collaborate with Data Scientists and Engineers to deliver reliable, scalable solutions.
• Drive adoption of engineering best practices across Data Engineering and MLOps.

Act as a GCP champion and support the team's growth in cloud capabilities

Skill Requirements

Required Skills

Technical

• SQL
• dbt (Data Build Tool)
• BigQuery

Other Requirements

Experience

• Data processing and large-scale data platforms
• Data governance and quality management
• Data quality monitoring and automated controls
• Machine learning and MLOps practices
• Operating and monitoring ML models in production

Nice to Have

• Soda Data Quality
• Feature stores and model monitoring frameworks
• Financial Crime, AML, KYC, or Transaction Monitoring experience

What Success Looks Like

• Reliable and scalable data pipelines running on GCP.
• Robust monitoring and data quality controls embedded in the platform.
• Machine learning models deployed and operated efficiently in production.
• Improved engineering standards and cloud adoption across the TM MLOps team(s)
• Increased GCP, Data Engineering, and MLOps maturity across the team through knowledge sharing, coaching, and establishment of best practices.

What We're Looking For

• An engineer who combines strong Data Engineering and MLOps skills with hands-on GCP expertise. You enjoy building reliable, scalable solutions, improving data quality and governance, and helping the team adopt modern cloud and machine learning engineering practices.

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026totaled $14.8billion.