7.0 - 11.0 years

0 Lacs

karnataka

On-site

You should have a minimum of 7 years of experience in Database warehouse / lake house programming and should have successfully implemented at least 2 end-to-end data warehouse / data lake projects. Additionally, you should have experience in implementing at least 1 Azure Data warehouse / lake house project end-to-end, converting business requirements into concept / technical specifications, and collaborating with source system experts to finalize ETL and analytics design. You will also be responsible for supporting data modeler developers in the design and development of ETLs and creating activity plans based on agreed concepts with timelines. Your technical expertise should include a strong background with Microsoft Azure components such as Azure Data Factory, Azure Synapse, Azure SQL Database, Azure Key Vault, MS Fabric, Azure DevOps (ADO), and Virtual Networks (VNets). You should also have expertise in Medallion Architecture for Lakehouses and data modeling in the Gold layer, along with a solid understanding of Data Warehouse design principles like star schema, snowflake schema, and data partitioning. Proficiency in MS SQL Database Packages, Stored procedures, Functions, procedures, Triggers, and data transformation activities using SQL is required, as well as knowledge in SQL loader, Data pump, and Import/Export utilities. Experience with data visualization or BI tools like Tableau, Power BI, capacity planning, environment management, performance tuning, and familiarity with cloud cloning/copying processes within Azure will be essential for this role. Knowledge of green computing principles and optimizing cloud resources for cost and environmental efficiency is also desired. You should possess excellent interpersonal and communication skills to collaborate effectively with technical and non-technical teams, communicate complex concepts, and influence key stakeholders. Additionally, analyzing demands, contributing to cost/benefit analysis, and estimation are part of the responsibilities. Preferred qualifications include certifications like Azure Solutions Architect Expert or Azure Data Engineer Associate. Skills required for this role include database management, Tableau, Power BI, ETL processes, Azure SQL Database, Medallion Architecture, Azure services, data visualization, data warehouse design, and Microsoft Azure technologies.,

Posted 1 week ago

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Data Engineer KRISHNA ENTERPRISES....

10.0 - 20.0 years

0 - 0 Lacs

bangalore, chennai, noida

Remote

We are looking for an experienced data engineer to join our team. You will use various methods to transform raw data into useful data systems. For example, youll create algorithms and conduct statistical analysis. Overall, youll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods. If you are detail-oriented, with excellent organizational skills and experience in this field, wed like to hear from you. Responsibilities Analyze and organize raw data Build data systems and pipelines Evaluate business needs and objectives Interpret trends and patterns Conduct complex data analysis and report on results Prepare data for prescriptive and predictive modeling Build algorithms and prototypes Combine raw information from different sources Explore ways to enhance data quality and reliability Identify opportunities for data acquisition Develop analytical tools and programs Collaborate with data scientists and architects on several projects

Posted 2 weeks ago

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Lead Data Engineer Innova Solutions

9 - 14 years

25 - 35 Lacs

Hyderabad, Chennai, Bengaluru

Hybrid

Hiring Lead AWS Data Eng for Hyderabad/Chennai/Noida/Pune/Bangalore Location-Immediate to 15 days joiners Deep understanding of PII/PHI detection and privacy standards (HIPAA) Using AWS Glue, S3, Lake Formation, Kinesis, and DMS. nfrastructure with VPC segregation and IAM-based access. Monitoring with CloudWatch, X-Ray, and EventBridge. Expertise in RDS. Strong knowledge of containerized environments (ECS/EKS/VDS). Proficient in Python, PySpark, and infrastructure-as-code (CloudFormation or Terraform). Experience in lineage tracking, metadata cataloging, and cloud-native monitoring tools. Deep understanding of PII/PHI detection and privacy standards (HIPAA) is aplus

Posted 2 months ago

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