Senior Support Engineer
Technology, Data & Digital · Data, AI & Analytics · Data Engineering
In short
Seeking an experienced Data Engineer with expertise in Data Lake, Databricks, and dbt to design and build cloud-based data platforms. Responsibilities include data ingestion, transformation, modeling, and optimization, along with collaborating with stakeholders and implementing data quality controls.
Responsibilities
- Design and develop scalable Data Lake solutions on cloud platforms.
- Build and maintain data pipelines using Databricks and Spark technologies.
- Develop, test, and deploy data transformation models using dbt.
- Implement ELT/ETL frameworks for batch and real-time data processing.
- Design and maintain dimensional data models, data marts, and curated data layers.
- Optimize data workflows for performance, scalability, and reliability.
- Collaborate with business stakeholders, data architects, and analytics teams to deliver data solutions.
- Implement data quality checks, monitoring, and governance controls.
- Support CI/CD, release management, and automated deployment processes.
- Troubleshoot and resolve issues related to data pipelines and platform performance.
- Troubleshoot and resolve tickets raised by clients.
- Undertake training programs for new joiners.
- Perform knowledge transition during project enhancements.
- Document all defined processes and methods of resolving tickets/troubleshooting.
- Update self on latest technologies and related areas.
Requirements
- 7+ years of experience in Data Engineering.
- Strong hands-on experience with Databricks and Apache Spark (PySpark/Scala Spark).
- Experience in building and managing Data Lake architectures.
- Expertise in dbt (Data Build Tool) for data transformation and modeling.
- Strong SQL programming and performance tuning skills.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Knowledge of data warehousing concepts and dimensional modeling.
- Experience with data orchestration tools and scheduling frameworks.
- Understanding of Git, CI/CD, and DevOps practices.
Benefits
- Supercharge your potential at HCLTech.
- Find your career at HCLTech.
- Find your spark at HCLTech.
- A place that knows that helping its customers stay on top starts by putting its people first.
- Global technology company, home to more than 223,000 people across 60 countries.
- Delivering industry-leading capabilities centered around digital, engineering, cloud and AI.
- Broad portfolio of technology services and products.
- 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.
#Data Engineer#Data Lake#Databricks#dbt#Cloud#Data Ingestion#Data Transformation#Data Modeling#Orchestration#Analytics Enablement#ELT#ETL#Spark#SQL#Azure#AWS#GCP#Dimensional Modeling#Data Warehousing#CI/CD#DevOps