Position: Databricks Engineer
Location: San Francisco CA***Day 1 Onsite***
Duration: 1 Years
| As a Databricks Engineer at HCLTech you will play a pivotal role in crafting and optimizing Microsoft Azure solutions to meet dynamic client needs. This position offers the opportunity to leverage your expertise in Azure technologies to drive impactful projects that align with the companys strategic objectives. Your work will significantly contribute to enhancing data-driven decision-making and operational efficiency across diverse business units.
DETAILED RESPONSIBILITIES:
- Design and develop software solutions to implement innovative features and support existing applications.
- Ingest and integrate data from various source systems into the Azure Analytics Platform using Azure Databricks and Azure Data Factory.
- Construct robust Azure Data Factory (ADF) pipelines to facilitate efficient data ingestion and transformation processes.
- Collaborate with the technical team to provide design and coding support ensuring project deliverables are met.
- Engage with clients to gather and interpret business requirements translating them into actionable solutions.
SKILL REQUIREMENTS:
- Demonstrated technical proficiency with the Microsoft Azure Stack (T-SQL SSIS SSAS SSRS).
- Expertise in Azure Data Factory Azure Databricks Azure Synapse Analytics Azure DevOps and Azure Storage/Data Lake.
- Experience with ETL processes and strong analytical skills for report development.
- Proficiency in relational databases and SQL language.
- Bachelors degree in Computer Science Information Technology or a related field.
OTHER REQUIREMENTS (OPTIONAL):
- Experience with Python scripting and Spark APIs is highly desirable.
- Previous experience in a client-facing role will be advantageous.
- Familiarity with agile development methodologies and practices. |
| Skill or Category | Mandatory/Non-Mandatory | Evaluation Focus | Minimum Rating Scale (0-5) | | Microsoft Azure Stack | Mandatory | Evaluate technical proficiency in T-SQL SSIS SSAS and SSRS | 3 | | Azure Data Factory | Mandatory | Assess ability to construct robust ADF pipelines for data ingestion and transformation | 3 | | Azure Databricks | Mandatory | Experience in ingesting and integrating data into the Azure Analytics Platform | 3 | | Azure Synapse Analytics | Mandatory | Capability to optimize Azure solutions for enhanced decision-making | 3 | | Azure DevOps | Mandatory | Evaluate experience in using Azure DevOps for project deliverables | 2 | | Azure Storage/Data Lake | Mandatory | Proficiency in managing data storage solutions | 2 | | ETL Processes | Mandatory | Experience with ETL processes and report development | 3 | | Relational Databases and SQL | Mandatory | Proficiency in relational databases and SQL language | 3 | | Python Scripting and Spark APIs | Non-Mandatory | Assess experience with Python scripting and Spark APIs | 2 | | Client-Facing Experience | Non-Mandatory | Evaluate previous client engagement experience | 2 | | Agile Development Methodologies | Non-Mandatory | Familiarity with agile development practices | 1 | | Bachelors Degree | Mandatory | Possession of a degree in Computer Science Information Technology or related field | 3 | |
Position: Databricks Engineer Location: San Francisco CA***Day 1 Onsite*** Duration: 1 Years As a Databricks Engineer at HCLTech you will play a pivotal role in crafting and optimizing Microsoft Azure solutions to meet dynamic client needs. This position offers the opportunity to leverage your ...
Position: Databricks Engineer
Location: San Francisco CA***Day 1 Onsite***
Duration: 1 Years
| As a Databricks Engineer at HCLTech you will play a pivotal role in crafting and optimizing Microsoft Azure solutions to meet dynamic client needs. This position offers the opportunity to leverage your expertise in Azure technologies to drive impactful projects that align with the companys strategic objectives. Your work will significantly contribute to enhancing data-driven decision-making and operational efficiency across diverse business units.
DETAILED RESPONSIBILITIES:
- Design and develop software solutions to implement innovative features and support existing applications.
- Ingest and integrate data from various source systems into the Azure Analytics Platform using Azure Databricks and Azure Data Factory.
- Construct robust Azure Data Factory (ADF) pipelines to facilitate efficient data ingestion and transformation processes.
- Collaborate with the technical team to provide design and coding support ensuring project deliverables are met.
- Engage with clients to gather and interpret business requirements translating them into actionable solutions.
SKILL REQUIREMENTS:
- Demonstrated technical proficiency with the Microsoft Azure Stack (T-SQL SSIS SSAS SSRS).
- Expertise in Azure Data Factory Azure Databricks Azure Synapse Analytics Azure DevOps and Azure Storage/Data Lake.
- Experience with ETL processes and strong analytical skills for report development.
- Proficiency in relational databases and SQL language.
- Bachelors degree in Computer Science Information Technology or a related field.
OTHER REQUIREMENTS (OPTIONAL):
- Experience with Python scripting and Spark APIs is highly desirable.
- Previous experience in a client-facing role will be advantageous.
- Familiarity with agile development methodologies and practices. |
| Skill or Category | Mandatory/Non-Mandatory | Evaluation Focus | Minimum Rating Scale (0-5) | | Microsoft Azure Stack | Mandatory | Evaluate technical proficiency in T-SQL SSIS SSAS and SSRS | 3 | | Azure Data Factory | Mandatory | Assess ability to construct robust ADF pipelines for data ingestion and transformation | 3 | | Azure Databricks | Mandatory | Experience in ingesting and integrating data into the Azure Analytics Platform | 3 | | Azure Synapse Analytics | Mandatory | Capability to optimize Azure solutions for enhanced decision-making | 3 | | Azure DevOps | Mandatory | Evaluate experience in using Azure DevOps for project deliverables | 2 | | Azure Storage/Data Lake | Mandatory | Proficiency in managing data storage solutions | 2 | | ETL Processes | Mandatory | Experience with ETL processes and report development | 3 | | Relational Databases and SQL | Mandatory | Proficiency in relational databases and SQL language | 3 | | Python Scripting and Spark APIs | Non-Mandatory | Assess experience with Python scripting and Spark APIs | 2 | | Client-Facing Experience | Non-Mandatory | Evaluate previous client engagement experience | 2 | | Agile Development Methodologies | Non-Mandatory | Familiarity with agile development practices | 1 | | Bachelors Degree | Mandatory | Possession of a degree in Computer Science Information Technology or related field | 3 | |
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Job Location:
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
