TechVedika
Technology
DataEngineer–AzureDatabricks&SQL
Neural analysis suggests this role is
optimal for mid candidates.
“Data Engineer – Azure Databricks & SQL at TechVedika. Skills: Azure Databricks, SQL, Data Pipelines, Data Warehousing. Design ETL/data pipelines. Develop ETL/data pipelines”
Industry & Context.
Problem-solving skills
What They're Looking For.
Must Have
5–8 years of experience as a Data Engineer, Hands-on experience in SQL development, Extensive experience with Azure Databricks, Extensive experience with Apache Spark, Experience in Data Warehousing, Experience in Data Modeling, Hands-on experience with Azure Data Factory, Hands-on experience with Databricks, Hands-on experience with SSIS, Hands-on experience with ETL Development, Experience with Unity Catalog, Knowledge of Azure Data Lake, Knowledge of Azure Storage, Experience building batch pipelines, Experience building streaming pipelines, Familiarity with Azure DevOps, Familiarity with Git, Familiarity with CI/CD processes, Good understanding of data governance, Good understanding of security best practices
Nice to Have
Bachelor’s degree in Computer Science, Bachelor’s degree in Engineering, Bachelor’s degree in IT, Experience working in enterprise-scale cloud data platforms, Exposure to Agile methodologies, Power BI knowledge is an added advantage
What You'll Do.
Design ETL/data pipelines
Develop ETL/data pipelines
Maintain ETL/data pipelines
Build batch data processing solutions
Build streaming data processing solutions
Optimize batch data processing solutions
Optimize streaming data processing solutions
Support migration of legacy data platforms
Develop enterprise data warehouse solutions
Maintain enterprise data warehouse solutions
Implement data models
Implement dimensional modeling
Implement star schema design
Work with Azure Data Factory
Manage data governance
Implement CI/CD pipelines
Ensure data reliability
Ensure data performance
Ensure data compliance
Collaborate with cross-functional teams
Stay updated with Databricks enhancements
Stay updated with Azure platform enhancements
How You'll Work.
Team & Collaboration
Cross-functional teams; BI teams; Analytics teams; Business stakeholders
Process & Methodology
CI/CD processes
Full Job Description
We are an Artificial Intelligence (AI) focused product engineering company , providing our customers in healthcare, retail & e-commerce, manufacturing, and hospitality sectors with cutting-edge products & solutions, harnessing Big Data Analytics, Vision Analytics, and IoT. Ever since our inception in March 2010 , Tech Vedika has been * Great Place To Work Certified™(May 2022-May 2023) Organization * Top 50 I Mid-Size India’s Best Workplaces for Women 2022 ! * Top 10 Most Disruptive Face & Image Recognition Solution Providers’2020 – Analytics Insights * Top 10 Healthcare Analytics Solution Providers’ 2019 - Healthcare Outlook Magazine * Top 20 most amazing AWS Service Providers – CIO Review India 2018 We strive for simple, elegant tech solutions to perform complex tasks. As a scalable technology partner, we enable organizations to improve operational efficiency and unleash new business potential Data Engineer – Azure Databricks & SQL Job Summary We are seeking an experienced Data Engineer with strong expertise in Azure Databricks and SQL to join our growing data team. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines and supporting the migration of legacy data platforms into Azure Databricks. The role requires hands-on experience in data warehousing, ETL development, data modeling, and Azure cloud technologies. Key Responsibilities * Design, develop, and maintain scalable ETL/data pipelines. * Build and optimize batch and streaming data processing solutions using Databricks and Apache Spark. * Support migration of legacy data platforms into Azure Databricks. * Develop and maintain enterprise data warehouse solutions. * Create and optimize SQL queries for large-scale datasets. * Implement data models including dimensional modeling and star schema design. * Work with Azure Data Factory (ADF), SSIS, and related ETL tools. * Manage data governance, lineage, and security using Unity Catalog. * Implement CI/CD pipelin
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