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
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Company

HCLTech

Job Posted

3 weeks ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Senior

Locations

Chennai, India

Applicants

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