Work From Home Opportunity at Cognizant: Cognizant is hiring a Data Engineer (Azure) for a piece-from-home position. The position includes designing, growing, and dealing with records pipelines and answers to the usage of Azure offerings. Candidates should have sturdy experience with Azure Data Factory, Databricks, and SQL, together with outstanding hassle-fixing and analytical skills.
- Job Role: Data Engineer (Azure)
- Company: Cognizant
- Location: Work From Home
- Employment Type: Full-time
- Salary: Not Disclosed
About Company:
Cognizant is a leading worldwide-era business enterprise that specializes in virtual, era, consulting, and operations offerings. Founded in 1994, it operates in over forty countries, handing over progressive answers to assist clients remodel their groups. With a focal point on subsequent-generation technologies like AI, cloud computing, and statistics analytics, Cognizant empowers companies to decorate patron reviews and drive performance. The company is dedicated to sustainability and diversity, fostering an inclusive subculture that values collaboration and continuous mastering.
Work From Home Opportunity at Cognizant Job Description:
As a Data Engineer (Azure) at Cognizant, you may be accountable for designing, developing, and retaining scalable records pipelines that handle great amounts of established and unstructured data. This role typically involves leveraging Azure’s cloud platform to construct and control information-driven answers that assist business desires.
Key Responsibilities:
Data Pipeline Development:
- Develop and manage information pipelines using Python, PySpark, and Pandas that process massive datasets on the Azure platform.
- Ensure seamless information ingestion from a huge variety of batch and streaming assets.
ETL and Analytical Solutions:
- Create sturdy ETL workflows and develop OLAP-based totally (Online Analytical Processing) and analytical programs tailor-made to enterprise needs.
- Handle huge-scale facts processing and ensure the accuracy and efficiency of the ETL strategies.
Azure Data Ecosystem Management:
- Work substantially with Azure services such as Data Bricks, Synapse Analytics, ADLS, Azure Storage, Azure SQL Database, and Azure HD Insight to optimize statistics storage and retrieval methods.
SQL and Database Management:
- Write and manipulate complicated SQL queries across various relational databases (Oracle, PostgreSQL, SQL Server) to extract and examine information.
- Ensure facts integrity and efficient question overall performance.
Agile and DevOps Collaboration:
- Collaborate within Agile undertaking frameworks to supply scalable and maintainable records answers.
- Utilize CI/CD pipelines, branching techniques, and gear inclusive of GIT for powerful code control.
Required Skills and Qualifications:
Experience in Data Engineering:
- Strong history in growing information pipelines with the use of Python, PySpark, and Pandas on Azure.
- In-intensity enjoy with batch and streaming information ingestion and processing.
- Proven capability to handle large volumes of information efficiently and successfully.
Azure Expertise:
- Hands-on revel in key Azure services together with Azure Data Bricks, Synapse Analytics, ADLS, Azure Storage, and Azure SQL Database.
- Familiarity with Azure HD Insight and statistics protection practices which include the usage of Azure Key Vault and Azure Active Directory.
SQL Proficiency:
- Expertise in writing complex SQL queries with the use of any RDBMS (Oracle, PostgreSQL, SQL Server).
- Experience in optimizing SQL queries for performance and accuracy.
DevOps and CI/CD Tools:
- Strong know-how of DevOps practices and CI/CD pipelines.
- Experience with gear like GIT for code management, and enforcing branching strategies.
Benefits at Cognizant:
Health and Wellness: Comprehensive medical health insurance plans, well-being programs, and intellectual fitness resources make certain employees’ physical and emotional well-being.
Career Development: Access to training, certifications, and mentorship packages fosters non-stop getting-to-know and career advancement.
Work-Life Balance: Flexible painting arrangements and beneficiant paid break days promote wholesome work-life stability.
Retirement Plans: Competitive retirement financial savings plans assist employees secure their economic future.
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