Technical Specialist - Snowflake, Azure Data Factory (ADF), Databricks
India
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Job Description
Technical Specialist - Snowflake, Azure Data Factory (ADF), Databricks
Chennai, Tamil Nadu

Job Summary

The Technical Specialist will play a crucial role in managing and optimizing Snowflake, Azure Data Factory (ADF), and Data Bricks environments within the organization. The primary responsibilities include overseeing the architecture, deployment, and maintenance of these platforms to ensure efficient data processing and analysis.

Key Responsibilities

1. Designing, developing, and implementing scalable and reliable solutions using snowflake, azure data factory (adf), and data bricks.
2. Managing data pipelines, etl processes, data lakes, and warehouses within snowflake and azure data factory.
3. Collaborating with cross functional teams to gather business requirements and translate them into technical solutions.
4. Troubleshooting and resolving any issues related to snowflake, azure data factory (adf), and data bricks performance and functionality.
5. Implementing security measures and access controls to protect sensitive data stored in these platforms.
6. Monitoring system performance, identifying bottlenecks, and implementing optimizations to improve overall efficiency.

Skill Requirements

 

Must have skills :- Required Skills and Qualifications Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.Minimum 10+ years of experience in data engineering, cloud data platforms, or enterprise analytics solutions.Strong hands-on experience with Microsoft Azure data and analytics services, including Azure Databricks, Azure Data Factory, Azure Data Lake Storage (ADLS Gen2), Azure SQL, and Azure Functions.Strong experience designing and implementing ETL/ELT pipelines and enterprise data integration solutions.Strong command of both relational (SQL Server, PostgreSQL) and NoSQL database systems is expectedUnderstanding of Lakehouse and Medallion architecture principles for enterprise analytics platforms.Hands-on experience with Apache Spark and PySpark for distributed data processing and transformation.Advanced skills in Python are required, including use of data manipulation libraries (Pandas, NumPy) and API integrationThe candidate should demonstrate experience in designing dimensional data models (star/snowflake schemas)Ability to design and consume RESTful APIs to integrate data from upstream systemsKnowledge of visualization tools such as Power BI or Tableau is expected to collaborate effectively with dashboard developers and translate business requirements into well-structured data models that support visualization layers.                                                  Good to have skills : -  Knowledge of how to structure and prepare data for ML model consumption, including feature engineering, data labeling pipelines, and integration with AI services (e.g., Azure OpenAI, Azure ML)Experience working in large enterprise or regulated environments with strong security and compliance requirements is preferred.Recommended CertificationsMicrosoft Certified: Azure Data Engineer AssociateMicrosoft Certified: Fabric Analytics Engineer AssociateMicrosoft Certified: Azure Solutions Architect ExpertMicrosoft Certified: Azure Developer AssociateDatabricks Certified Data Engineer Associate or ProfessionalPersonal CompetenciesExceptional attention to detail: data accuracy is non-negotiableProactive communication: ability to flag data issues, pipeline risks, or scope concerns early and clearlyStructured, self-directed working style: ability to manage concurrent workstreams across initiative phases with minimal supervisionCollaborative approach: the role requires productive engagement with data owners across six institutional teams from three WBG institutionsComfort with ambiguity: the ability to work constructively with incomplete data landscapes while building toward clarity

Other Requirements

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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 226,300 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 December 2025 totaled $14.5 billion.
23 Benefits At HCLTech, we believe in empowering our employees with comprehensive benefits that support their professional growth and enhance their well-being. When you sign up for a career with us, you gain access to: https://rmkcdn.successfactors.com/147eb21f/a701dca9-f32d-4fc9-9447-6.svg Industry-benchmarked compensation https://rmkcdn.successfactors.com/147eb21f/b0c54381-ddcc-4a33-9b35-9.svg Best-in-class healthcare benefits https://rmkcdn.successfactors.com/147eb21f/b73027be-7aae-4d36-a090-4.svg Personal time off https://rmkcdn.successfactors.com/147eb21f/d5b4fdfd-2e99-4e26-9878-9.svg Maternity and paternity benefits https://rmkcdn.successfactors.com/147eb21f/3d42b0fc-4652-435a-9ece-c.svg Access to skills / higher education programs/resources https://rmkcdn.successfactors.com/147eb21f/aeddeaf2-9e25-4584-ad11-d.svg Discounts on products and services via Benefit Box https://rmkcdn.successfactors.com/147eb21f/a9609a3b-2700-4b3c-9d90-a.svg Participate in CSR programs and live life with a purpose https://rmkcdn.successfactors.com/147eb21f/c6e33851-710f-4634-bd69-f.svg Opportunities to grow and advance your career Note: The benefits listed above vary depending on the nature of your employment and the country where you work. Some benefits may be available in some countries but not in all.