Wipro Tech Hiring For The Role Of Data Analyst ( Job Drive ) All Graduates Is Can Apply
About Job Role
As the Data Analyst for wipro ( Tech Hiring ), you will be the driving force behind the development and execution of cutting-edge data strategies and data environment frameworks. Your expertise will ensure the effective utilization of data, enabling the delivery of dependable Data & Analytics Services. You will collaborate with cross-functional teams, and establish data-related best practices in alignment with Mastercard standards.
Wipro Tech Hiring For The Role Of Data Analyst ( Pune Job Drive ) All Graduates Can Apply
| Job ID | 3105879 |
| Job Role | Data Analyst |
| Education Qualifications | BE/B.Tech or Other Tech Degree |
| Salary Package | 4 to 6 LPA or as per company standards |
| Experience | Fresher |
| Job Location | Pune , Maharashtra |
| Last apply date | ASAP |
Attention : Read all criteria carefully and make changes in resume by adding relevent keywords so you will get the interview call otherwise you will loose opportunity.
Responsibility
- Design, develop, and maintain new data capabilities and infrastructure for Mastercard’s Internal Data lake (Workplace Intelligence Platform)
- Create new data pipelines, data transfers, and compliance-oriented infrastructure to facilitate seamless data utilization within on-premise/cloud environments
- Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation
- Collaborate with technical team and business stakeholders to understand data requirements and translate them into technical solutions
- Work with large datasets, ensuring data quality, accuracy, and performance
- Implement data transformation, integration, and validation processes to support analytics/BI and reporting needs
- Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency
- Implement best practices for data storage, retrieval, and archival to ensure data accessibility and security
- Troubleshoot and resolve data-related issues, collaborating with the team to identify root causes
- Document data processes, data lineage, and technical specifications for future reference
- Participate in code reviews, ensuring adherence to coding standards and best practices
- Collaborate with DevOps teams to automate deployment and monitoring of data pipelines
Larsen & Toubro Is Hiring A Entry Leval Engineers – Data Analyst [ Upto 4 to 6 LPA ]
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
- Deep understanding of Data visualization, statistics, hypothesis testing, business intelligence tools, SQL, data cleaning and data lifecycle management.
- Proficiency in designing and implementing data tools, technologies, and processes.
- Expertise in data engineering, ETL/ELT processes, data warehousing, and data modeling.
- Strong command of data integration techniques and data quality management.
- Hands-on experience with data technologies such as Hadoop, Spark, Python, SQL, alteryx, Nifi, SSIS, etc.
- Familiarity with cloud platforms and services, such as AWS, GCP, or Azure.
- Excellent problem-solving skills and ability to provide innovative data solutions.
- Strong leadership skills with a proven track record of guiding and mentoring a team
Cognizant Is Hiring Trainee – Junior Data Analyst
Preferred Skillset
- Expertise in Data Engineering and Data Analysis: implementing multiple end-to-end DW projects in Big Data Hadoop environment
- Experience of building data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage
- EXerience of working with Databases like MS SQL Server, Oracle and have strong SQL knowledge
- Experience in BI tools like Tableau, PowerBI
- Experience of working on Alteryx, SSIS, NiFi added advantage
- Experience of working on automation in data flow process in a Big Data environment.
- Experience of working in Agile teams
- Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan
- Strong communication skills – both verbal and written ? and strong relationship, collaboration skills and organizational skills
- Ability to multi-task across multiple projects, interface with external / internal resources and provide technical leadership to junior team members
- Ability to be high-energy, detail-oriented, proactive and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results
- Ability to quickly learn and implement new technologies, and perform POC to explore best solution for the problem statement
- Flexibility to work as a member of a matrix based diverse and geographically distributed project teams
- Create and maintain a robust data environment that adheres to Mastercard standards and best practices.
- Oversee the management and optimization of data warehouses and data lakes.