Data Engineer, Manager Job in Invenics

Responsibilities

• Work with business analysts and stakeholders to understand data requirements and design solutions
• Design, develop, test, and maintain ETL processes using SAP BODS and SAP HANA
• Develop and maintain SAP BODS jobs and workflows
  
• Develop and maintain data integration solutions using SAP BODS
• Troubleshoot and resolve issues related to SAP BODS processes
• Develop and maintain documentation for all ETL processes and data integration solutions
• Manage software development projects from inception to completion, including defining project goals, creating project schedules, assigning tasks, and monitoring progress
• Provide technical leadership to the software development team, guiding them on technical issues, resolving technical challenges, and ensuring that the team is following best practices in software development
• Manage the software development team, including hiring, training, and mentoring team members, setting performance goals, and ensuring that the team is working effectively
• Communicate with stakeholders and clients to ensure that project goals and expectations are understood and met
• Identify and manage risks that could impact the success of a software development project, assessing project risks, developing contingency plans, and ensuring that risks are communicated to stakeholders
• Ensure that software being developed meets quality standards, including conducting code reviews, testing software, and ensuring that the team is following best practices in software development
• Continuously monitor and evaluate project performance, making adjustments as necessary to ensure project success

Experience: (8+ Years)

• 4+ years of experience in SAP BODS & SQL
• Hands-on experience with SAP DI or other similar ETL and data integration platforms such as IBM Datastage, Mulesoft, Informatica, SAP PI/PO and SAP CPI
• Proficiency in any of SQL and database technologies such as Oracle, SQL Server, or SAP HANA
• Experience working in an Agile development environment
• Development of data ingestion pipelines and robust ETL frameworks. Implementation of data cleansing and data quality features in ETL pipelines
• Experience in writing complex SQL queries using joins, aggregates, set operators, window functions etc
• Experience in analyzing data on large (terabytes) and complex (unstructured) datasets
• Hands on experience parsing responses generated by API s (REST/XML/JSON)
• Experience in using CI/CD techniques, DevOps/Git repository code promotion and release/change management
• Hands-on coding experience in Python, including packages such as Pandas, NumPy

Nice to have

• Developer/Architect certification(s)
• SAP HANA, Information Steward
• Experience in Kafka/RabbitMQ, JavaScript, SAP S/4 Hana
• Hands-on coding experience in Python, including packages such as Pandas, NumPy
• Experience in managing a team
• Able to manage Agile Scrum team

Preferred Skills and additional Knowledge

• Excellent communication and collaboration skills
• Strong analytical and problem-solving skills
• A logical approach to problem solving and willingness to take responsibility and have a pragmatic, goal-oriented approach
• Self-starting and can work pro-actively within a larger team
• Strong interest in learning and developing with emerging technologies demonstrated through self-initiated projects
• Ability to assess the current processes, identify improvement areas and suggest the technology solutions

What We Offer

A unique role in a dynamic environment, the opportunity to work in a strong Research and Development setup aiming to establish a data-led AI company, under the guidance of a dedicated mentor. Due to the nature of the role, there is also scope for significant learning around new and emerging areas of technical innovation and exploring work performed within the various service lines, all the time.

Benefits

We provide an excellent benefits package which includes a very competitive salary, pension, 25 days annual leave plus generous annual and long-term service bonuses. Additionally, we provide options for flexible working wherever possible. There are also opportunities to work in other areas of interest within the company. Generous bonuses depending on the company s and the candidate s annual performance will be available.