TechVedika
Artificial Intelligence (AI) focused product engineering
DataEngineer–AzureDatabricks&SQL
Neural analysis suggests this role is
optimal for mid candidates.
“Data Engineer – Azure Databricks & SQL at TechVedika. Skills: Azure Databricks, SQL, ETL/data pipelines, Data Warehousing, Data Modeling, Azure cloud technologies, Apache Spark. Design, develop, and maintain scalable ETL/data pipelines. Build and optimize batch and streaming data processing solutions using Databricks and Apache Spark”
What You'll Achieve.
improve operational efficiency; unleash new business potential; Ensure data quality, reliability, performance, and compliance standards
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 and performance tuning, Extensive experience with Azure Databricks and Apache Spark, experience in Data Warehousing and Data Modeling, Hands-on experience with Azure Data Factory (ADF), Hands-on experience with Databricks, Hands-on experience with SSIS, Hands-on experience with ETL Development, Experience with Unity Catalog for governance and security, Knowledge of Azure Data Lake and Azure Storage, Experience building both batch and streaming pipelines, Familiarity with Azure DevOps, Git, and CI/CD processes, Good understanding of data governance and security best practices
Nice to Have
Bachelor’s degree in Computer Science, Engineering, IT, or related field, Power BI knowledge is an added advantage, Experience working in enterprise-scale cloud data platforms, Exposure to Agile methodologies
What You'll Do.
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)
and related ETL tools
Manage data governance
and security using Unity Catalog
Implement CI/CD pipelines using Git and Azure DevOps
and compliance standards
Stay updated with latest Databricks and Azure platform enhancements
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams including BI, analytics, and business stakeholders
Communication Scope
Excellent communication
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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