Senior Technical Lead

Teknik, data och digitalt · Data, AI och analys · Data engineering

I korthet

Wir suchen einen erfahrenen Data Engineer für unser Credit Platform Team in Chennai, Bangalore oder Hyderabad. Die Rolle beinhaltet die Entwicklung und Wartung skalierbarer Datenlösungen mit Python, Java, DBT und GCP, um kritische Kreditrisiko- und Kreditvergabefunktionen zu unterstützen.

Ansvarsområden

Design, develop, test, deploy, and maintain scalable data pipelines and data products.
Build and optimise ETL/ELT solutions using Python and Java.
Develop robust and reusable frameworks for data ingestion, transformation, and processing.
Design and implement data models, schemas, and integration patterns.
Collaborate with business and technology stakeholders to understand requirements and deliver solutions.
Implement data quality, validation, monitoring, and reconciliation processes.
Support end-to-end software development lifecycle activities, including design, coding, testing, deployment, and production support.
Drive CI/CD adoption and engineering best practices across the team.
Troubleshoot and resolve production issues, perform root cause analysis, and implement preventive measures.
Ensure compliance with security, governance, regulatory, and data management standards.
Produce technical documentation, design artefacts, and operational runbooks.
Participate in Agile ceremonies including sprint planning, stand-ups, backlog refinement, and retrospectives.
Support knowledge sharing, mentoring, and continuous improvement initiatives.

Krav

Strong hands-on experience in Python development.
Hands-on experience in Java development.
Strong experience in DBT (Data Build Tool) for developing, testing, and managing scalable ELT data transformation pipelines, including data modeling, documentation, lineage tracking, and implementation of data quality checks within modern cloud data platforms.
Experience building enterprise-scale data pipelines and data processing solutions.
Strong SQL programming and database development expertise.
Experience with data modelling, data warehousing, and data integration concepts.
Knowledge of ETL/ELT frameworks and best practices.
Experience with RESTful APIs and microservices-based architectures.
Strong understanding of object-oriented programming and design patterns.
Experience with source control tools such as Git.
Working knowledge of CI/CD pipelines and DevOps practices.
Experience working on cloud-based data platforms.
Understanding of data governance, security, metadata management, and data quality frameworks.
Strong analytical and problem-solving abilities.
Excellent verbal and written communication skills.
Ability to collaborate effectively across cross-functional teams.
Experience working in Agile delivery environments.
Strong stakeholder management and engagement skills.
Self-driven mindset with a focus on ownership and continuous improvement.
Modular code, pandas, packaging, PyTest, API and BigQuery client libraries (Python)
Models, incremental strategies, macros, sources, snapshots, tests, docs, lineage (DBT)
Advanced SQL, window functions, partitioning, clustering, cost and performance tuning (BigQuery)
Cloud Storage, Pub/Sub, IAM, Cloud Logging/Monitoring, Cloud Build (GCP)
DAG design, operators, scheduling, retries, backfills, alerting, SLAs (Airflow / Cloud Composer)
Test-first development, PyTest, DBT/data tests, DAG tests, CI integration (TDD)
AI coding agents, prompt/context design, tool calling, evals, guardrails, review practices (Agentic Engineering)
Scrum, stakeholder collaboration, mentoring, documentation (Agile & Communication)

Önskade kvalifikationer

Experience with Google Cloud Platform (GCP) services such as BigQuery, Cloud Composer, Dataflow, Pub/Sub, and Cloud Storage.
Experience with dbt, Terraform, and Infrastructure as Code.
Knowledge of Apache Kafka or other real-time streaming technologies.
Experience working within Credit Risk, Banking, or Financial Services domains.
Exposure to data observability and monitoring tools.
Experience with containerisation technologies such as Docker and Kubernetes.
Knowledge of Data Mesh and Data Product concepts.
Familiarity with machine learning data pipelines and analytics platforms.
Experience mentoring junior engineers and c
Star schema, SCD, incremental loads, reconciliation, Great Expectations/Soda (Data Modelling & Quality)
Git, Cloud Build/GitHub Actions/Jenkins, Terraform, Docker (CI/CD & IaC)
Dataflow (Beam), Dataproc/Spark, Pub/Sub streaming (Streaming & Big Data)

Förmåner

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.
Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion.

Färdigheter

PythonJavaDBTSQLRESTful APIsGitCI/CDDevOpsGoogle Cloud PlatformBigQueryCloud ComposerDataflowPub/SubCloud StorageTerraformDockerApache KafkaKubernetesTDDPyTestData ModellingData WarehousingData IntegrationETLELTObject-Oriented ProgrammingAgileScrum

#Data Engineering#Python#Java#DBT#Digital Technologies#Data Solutions#Credit Risk#Lending#Decisioning#Cloud#ETL#ELT#Data Pipelines#Data Quality#CI/CD#Agile#GCP#BigQuery#Streaming#Real-time#Financial Services

Om HCLTech

Supercharging progress through technology and innovation

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, 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 September 2022 totaled $12.1 billion. To learn how we can supercharge progress for…

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