Azure Data Engineer
Hyderabad, India
TechVedika
We are an Artificial Intelligence (AI) focused product engineering company providing our customers with futuristic solutions powered by 'humanised' AI harnessing Big Data Analytics, IoT and Web/Mobility services.Company 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
Job Description
Positions: Data Engineer
Job Summary: We are seeking a highly skilled Data Engineer to join our dynamic and fast‐paced team.
Experience:5-8 Years
The ideal candidate should possess exceptional problem‐solving skills and the ability to work collaboratively in a team environment.
The successful candidate will play a crucial role in designing, developing, and maintaining our data infrastructure to support our business operations and decision‐making processes.
Job Responsibilities:
Design, develop, and maintain data pipelines and ETL processes using SQL Server, Azure Data Factory, and Python.
Optimize and tune SQL queries, stored procedures, and data processing workflows for performance and scalability.
Develop and maintain data models to support business requirements and data analysis.
Collaborate with business users to understand data needs and design efficient data solutions.
Implement data governance policies and ensure data integrity and quality.
Automate data processes and workflows using PowerShell and other scripting languages.
Monitor and troubleshoot data pipelines, resolving any issues or bottlenecks that may arise.
Work closely with the infrastructure team to optimize data storage, data processing, and data transfer in the Azure Cloud environment. Required Qualifications:
Bachelor's degree in Computer Science, Engineering, or a related field.
Strong programming and performance tuning skills in SQL Server, Azure Data Factory, and Python.
Solid understanding of data modeling concepts and experience with designing efficient data models.
Experience with performance tuning and optimization techniques for data processing and storage.
Familiarity with Azure Cloud services and technologies.
Knowledge of Git version control system.
Excellent problem‐solving and analytical skills.
Strong communication and collaboration skills.
Ability to work in a fast‐paced, dynamic environment and juggle multiple projects simultaneously. Preferred:
Experience in the structured finance space specializing in residential mortgages.
Experience with other cloud platforms such as AWS or Google Cloud.
Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
Knowledge of machine learning and data science concepts.
Experience with data visualization tools such as Tableau or Power BI.
Additional Information
At Tech Vedika, we are looking for talented individuals who want to work with driven people. Attain success while working on interesting projects with a culturally diverse group of individuals.
Perks & Benefits:
- Health Insurance
- Meal Vouchers
- Learning Aids
- Client/Customer Interactions
- Working with great minds
If you want an exciting and dynamic career with unlimited growth potential, then Tech Vedika is the place for you!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Big Data Computer Science Data analysis Data Analytics Data governance Data pipelines Data visualization E-commerce Engineering ETL Finance GCP Git Google Cloud Hadoop Kafka Machine Learning Pipelines Power BI Python Spark SQL Tableau
Perks/benefits: Career development Health care
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