Senior Technical Lead

Job description

Role: Data Engineer Location: Chennai / Bangalore / Hyderabad Job Summary We are seeking a highly skilled Data Engineer to join our Credit Platform team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data solutions that support critical credit risk, lending, and decisioning capabilities. The role requires strong expertise in Python, Java, DBT and Digital Technologies (DT), along with experience in modern data engineering practices, cloud-based platforms, and enterprise-scale data products. The successful candidate will work closely with business stakeholders, architects, product owners, and engineering teams to deliver reliable, secure, and high-performance data solutions. Key Responsibilities 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. Mandatory Skills Technical Skills 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. Professional Skills 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. Good to Have / Additional Experience 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 Key Responsibilities Skill Area Key Competencies / Tools Priority Hands-on Experience Required Min. Expected Level (1-5) Python Modular code, pandas, packaging, PyTest, API and BigQuery client libraries Must Have Yes – Mandatory 4 DBT Models, incremental strategies, macros, sources, snapshots, tests, docs, lineage Must Have Yes – Mandatory 4 BigQuery Advanced SQL, window functions, partitioning, clustering, cost and performance tuning Must Have Yes – Mandatory 4 GCP Cloud Storage, Pub/Sub, IAM, Cloud Logging/Monitoring, Cloud Build Must Have Yes – Mandatory 3 Airflow / Cloud Composer DAG design, operators, scheduling, retries, backfills, alerting, SLAs Must Have Yes – Mandatory 4 TDD Test-first development, PyTest, DBT/data tests, DAG tests, CI integration Must Have Yes – Mandatory 4 Agentic Engineering AI coding agents, prompt/context design, tool calling, evals, guardrails, review practices Must Have Yes – Mandatory 3 Data Modelling & Quality Star schema, SCD, incremental loads, reconciliation, Great Expectations/Soda Good to Have Preferred 3 CI/CD & IaC Git, Cloud Build/GitHub Actions/Jenkins, Terraform, Docker Good to Have Preferred 3 Streaming & Big Data Dataflow (Beam), Dataproc/Spark, Pub/Sub streaming Good to Have Preferred 2 Agile & Communication Scrum, stakeholder collaboration, mentoring, documentation Must Have Not applicable 3 Skill Requirements Other Requirements Apply now Information at a Glance Why HCLTech? 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 230,000 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 September 2026 totaled $14.8 billion. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Copyright © 2026 HCL Technologies Limited Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. Required Cookies These cookies are required to use this website and can't be turned off. Required Cookies Required Cookies Provider Description Enabled SAP as service provider We use the following session cookies, which are all required to enable the website to function: "route" is used for session stickiness "careerSiteCompanyId" is used to send the request to the correct data center "JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor "Load balancer cookie" (actual cookie name may vary) prevents a visitor from bouncing from one instance to another Cookies from provider SAPasserviceprovider are required and cannot be turned off Functional Cookies These cookies provide a better customer experience on this site, such as by remembering your login details, optimizing video performance, or providing us with information about how our site is used. You may freely choose to accept or decline these cookies at any time. Note that certain functionalities that these third-parties make available may be impacted if you do not accept these cookies. Consent to all Functional Cookies Functional Coo