Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. We leverage our holistic portfolio of capabilities in consulting, design, engineering, operations, and emerging technologies to help clients realize their boldest ambitions and build future-ready, sustainable businesses. A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship, we have over 250,000 dedicated employees serving clients across 66 countries. We deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world.
·A PROUD HISTORY OF OVER 75 YEARS
· FY22 REVENUE 10.4 BN USD
· WE’RE PRESENT IN 66 COUNTRIES
· OVER 1,400 ACTIVE GLOBAL CLIENTS
Job Title : Big Data Developer ( ADF & Databricks)
Job Type : Full-time, Onsite (Memphis TN)
Job Overview:
We are seeking an experienced Big Data Developer with a strong technical background in Azure Data Factory and Databricks, and the ability to engage directly with clients for requirement gathering, solution design and implementation. The candidate will act as a liaison between the client and the internal technical team, ensuring that business needs are translated into efficient technical solutions. This is an onsite role where the candidate will be responsible for both technical delivery and collaborating closely with stakeholders to ensure project success.
Key Responsibilities:
Client Engagement & Requirement Gathering:
- Collaborate directly with clients to understand business requirements and translate them into technical specifications.
- Conduct regular meetings with the stakeholders to gather, document and analyze requirements for Big Data solutions.
- Act as the point of contact between the client and the internal technical team to ensure seamless communication and delivery.
- Provide regular updates to both clients and internal teams on project progress, potential risks and milestones.
Technical Responsibilities/Qualifications:
- Design, develop and implement data pipelines using Azure Data Factory and Databricks to process large datasets from multiple sources.
- Develop scalable and high-performance ETL solutions that integrate structured and unstructured data.
- Utilize Databricks to build and optimize Spark-based solutions for data transformation, aggregation and processing.
- Work with cloud storage solutions like Azure Data Lake, Blob Storage and SQL Databases to manage data ingestion, transformation and storage.
- Automate workflows and orchestrate jobs using ADF pipelines, ensuring timely and efficient data processing.
- Monitor and troubleshoot data pipelines for performance optimization and ensure data quality and consistency.
- Strong knowledge of Apache Spark, SQL and Delta Lake.
- Proficiency with Python and PySpark for data engineering tasks.
- Experience with CI/CD pipelines using Azure DevOps, Jenkins or similar tools.
- Familiarity with data warehousing concepts and experience with SQL Server or other RDBMS.
- Experience with version control systems like Git/Bit Bucket.
- Strong problem-solving skills and ability to troubleshoot data pipeline issues effectively.
Soft Skills:
- Strong client management and relationship-building skills.
- Ability to multitask and manage multiple projects simultaneously.
- Excellent problem-solving and troubleshooting skills.
- Proactive approach to identifying risks and resolving issues.
- Strong organizational skills and attention to detail.
- Ability to work in both technical and business environments
Expected annual pay for this role ranges from [$120000] to [$130,000]. Based on the position, the role is also eligible for Wipro’s standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.”
Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law.
Big Data
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