Azure Data Engineer

Job Title : System Support Engineer – L1

Experience : 2.5+ Years

Location : Mumbai (Powai)

Shift : Rotational

Role Summary :

Provide first-level technical and functional support for enterprise applications and infrastructure. Handle user issues, troubleshoot systems, and ensure timely resolution while following support processes.

Key Responsibilities :

• Provide phone/email support and own user issues end-to-end.
• Log, track, and update tickets in Jira/Freshdesk.
• Troubleshoot Linux/UNIX systems, web servers, and databases.
• Escalate unresolved issues and communicate during downtimes.
• Create knowledge base articles and support documentation.

Mandatory Skills :

Linux/UNIX administration, Apache/Tomcat/JBoss, basic SQL databases (MySQL/SQL Server/Oracle), scripting knowledge, and ticketing tools experience.

Preferred :

• Banking/Financial Services domain exposure and client-site support experience.
• Strong communication skills, customer-focused mindset, and willingness to work in rotational shifts are essential.

Job Description: 

Wissen Technology is looking for a skilled Automation Anywhere Engineer to join our dynamic team in Bangalore. The ideal candidate will have hands-on experience in Automation Anywhere , Document Automation , SQL , and  Python , with a strong background in designing and implementing automation solutions.   

Key Responsibilities:   

- Design, develop, and deploy automation solutions using Automation Anywhere.   

- Work on  Document Automation  to extract, process, and validate structured/unstructured data.   

- Develop scripts and automation solutions using  Python for enhanced process efficiency.   

- Optimize data processing workflows and database queries using  SQL.   

- Collaborate with cross-functional teams to identify automation opportunities and enhance business processes.   

- Perform unit testing, debugging, and troubleshooting of automation scripts.   

- Ensure adherence to industry best practices and compliance standards in automation processes.   

- Provide support, maintenance, and enhancements to existing automation solutions.   

Required Skills & Qualifications:   

- 4 to 8 years  of experience in RPA development using Automation Anywhere.   

- Strong expertise in Automation Anywhere A360(preferable).   

- Hands-on experience with Document Automation tools and technologies.   

- Proficiency in Python  for scripting and automation.   

- Strong knowledge of SQL for data processing and querying.   

- Experience in troubleshooting, debugging, and optimizing automation workflows.   

- Ability to work in an Agile environment and collaborate with cross-functional teams.   

- Excellent problem-solving skills and attention to detail.   

Job Overview:

We are seeking an experienced AWS Data Engineer to join our growing data team. The ideal candidate will have hands-on experience with AWS Glue, Redshift, PySpark, and other AWS services to build robust, scalable data pipelines. This role is perfect for someone passionate about data engineering, automation, and cloud-native development.

Key Responsibilities:

• Design, build, and maintain scalable and efficient ETL pipelines using AWS Glue, PySpark, and related tools.
• Integrate data from diverse sources and ensure its quality, consistency, and reliability.
• Work with large datasets in structured and semi-structured formats across cloud-based data lakes and warehouses.
• Optimize and maintain data infrastructure, including Amazon Redshift, for high performance.
• Collaborate with data analysts, data scientists, and product teams to understand data requirements and deliver solutions.
• Automate data validation, transformation, and loading processes to support real-time and batch data processing.
• Monitor and troubleshoot data pipeline issues and ensure smooth operations in production environments.

Required Skills:

• 5 to 7 years of hands-on experience in data engineering roles.
• Strong proficiency in Python and PySpark for data transformation and scripting.
• Deep understanding and practical experience with AWS Glue, AWS Redshift, S3, and other AWS data services.
• Solid understanding of SQL and database optimization techniques.
• Experience working with large-scale data pipelines and high-volume data environments.
• Good knowledge of data modeling, warehousing, and performance tuning.

Preferred/Good to Have:

• Experience with workflow orchestration tools like Airflow or Step Functions.
• Familiarity with CI/CD for data pipelines.
• Knowledge of data governance and security best practices on AWS.

• Skills needed: Workday implementation and testing management experience; Proficient in Workday Compensation Module
• Microsoft office; Vision; Strong communication and written skills

JD For PL/SQL

·      Minimum 4+ years of experience in PL/SQL

·      Exposure to create and maintain large database with complex requirement

·      Deep understanding on procedures, functions and collections

·      Hands on experience in analytical and aggregate functions

·      Ability to create and manage triggers

·      Experience in database transaction management

·      Provide support to java developers on need.

·      Understanding on Agile methodologies

·      Good written and oral communication skills

Interview: Direct walk-in Interview only

Location: Chennai & Madurai

• Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement
• Collaborating with the front-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience
• Developing ideas for new programs, products, or features by monitoring industry developments and trends
• Recording data and reporting it to proper parties, such as clients or

  • leadership

• Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members
• Taking lead on projects, as