Data Engineer
- Tanisha Systems
- 5 - 10 years
- Hyderabad
- 3 days ago
- Email to a friend
- Report this job
Job Description
Senior Data Engineer
As a Senior Data Engineer within our Enterprise Data and Analytics team, youll be at the forefront of a company-wide digital transformation. Were looking for a forward-thinking engineer who brings deep technical expertise and a passion for building scalable, AI-ready data platforms. In this role, youll architect and implement modern data solutions that power intelligent applications, streamline operations, and deliver measurable business value. Youll work closely with cross-functional teams to design robust pipelines, integrate diverse data sources, and enable advanced analytics and generative AI capabilities.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory, Azure Data Bricks, and other Azure services.
- Implement and optimize data storage solutions using Azure Data Lake, Azure SQL Database, and Delta Lake to support analytics and reporting needs.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality, reliable datasets.
- Ensure data security, compliance, and governance by applying best practices, role-based access control (RBAC), and encryption.
- Monitor and troubleshoot data workflows, ensuring performance, reliability, and cost-efficiency across Azure cloud environments.
- Automate data integration and transformation tasks using Azure Functions, Logic Apps, and scripting languages like Python.
- Mentor junior engineers and foster a collaborative team environment.
Essential Qualifications:
- Bachelors degree in computer engineering, Computer Science, or a related discipline
- 7+ years of experience in ETL design, development, and performance tuning using the Microsoft Stack in a multi-dimensional data warehousing environment.
- 7+ years of advanced SQL programming expertise (PL/SQL, T-SQL)
- 5+ years of experience in Enterprise Data & Analytics solution architecture
- 3+ years of experience in Python Programming
- 3+ years of hands-on experience with Azure, especially for data-heavy/analytics applications leveraging relational and NoSQL databases, Data Warehousing, and Big Data solutions.
- 3+ years of experience with key Azure services: Azure Data Factory, Data Lake Gen2, Analysis Services, Databricks, Blob Storage, SQL Database, Cosmos DB, App Service, Logic Apps, and Functions
- 2+ years of experience designing data models aligning with business requirements and analytics needs.
- 2+ years of experience defining and implementing data security standards, including encryption, auditing, and monitoring.
- Strong analytical skills and a passion for intellectual curiosity
Preferred Skills:
- 2+ years of experience setting up and operating data pipelines using Python or SQL
- Familiarity with DevOps processes (CI/CD) and infrastructure as code
- Knowledge of Master Data Management (MDM) and Data Quality tools
- Experience developing REST APIs using Java Spring Boot, Python
- Experience building and supporting AL/ML software solutions
- Familiarity with stream-processing systems (e.g., Event Hubs, Storm, Spark-Streaming)
- Experience with API integrations (RESTful, SOAP) for both internal and external systems to enhance data flow and automation.
- Experience working in Agile environments, familiarity with Agile tools like Jira or Azure DevOps.
- Experience in data and analytics within the Life Sciences industry is a plus.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full timeContact Details:
Company: Tanisha SystemsLocation(s): Hyderabad
Keyskills: Data Engineering Azure Data Factory T-SQL Data Security Enterprise Data Lake ETL Data Bricks Python SQL
Similar positions
Job Listings
We are in open beta version of website, please let us know if any issues, at: info(at)indigojobs.in