11+ SAP ALV Jobs in Chennai | SAP ALV Job openings in Chennai

Job Description

SAP HR Technical Lead support Consultant will analyze and propose technical solutions for

Production issues raised as incidents and work towards closure. Work closely with Technical Team

and Functional Consultants. Provide effort estimation for any break fixes that are needed,

feasibility study, unit testing, technical review, and mentor/guide the technical team.

Essential Functions:

• Must be able to work on rotational shifts.

• Must have experience on 2-3 SAP Payroll implementations

• SAP HR ABAP development or support experience. Must have experience and expert knowledge

of ABAP development objects including Dialog programming, User-exits, BADIs, Smart Forms

and/or Adobe Forms, ALV, BAPIs, RFCs, and other SAP development tools.

• Must have worked on payroll implementation projects.

• Must have good experience in SAP HR ABAP and SAP UI5/Fiori applications using SAP Web IDE.

• Must have hands-on experience and technical proficiency in Object Oriented ABAP (OOPs) with

expertise in WRICEF development.

• Must have strong ABAP debugging skills

• Manage the support team of Functional associates, Technical associates and Scrum masters

focused on delivering and maintaining products for the Human resources domain.

• Work with solution architects and help define business processes and system architecture

• Support the team in ensuring that the Incidents, production bugs are resolved within the given

SLA

• Ensure that RCA is done and the systems (HRO/payroll) are stabilized

• Ensure compliance with security practices/guidelines and relevant technology standards

• Experience and worked on HR Interfaces.

• Support experience in SAP and the cross-function relationship between modules for forms,

reports, interfaces, enhancements, BDC, LSMW, BADI, BAPI, workflow, and other development

work

• Strong knowledge and understanding of SAP Transport layers, IDOCs and interfaces and the

different kinds of Transport Request and SAP best practices in handling transports

• Understanding of all the key enhancements spots (BADIs and User Exits) and how to best

leverage them to meet customer-specific requirements with minimal risk

• Exemplary troubleshooting skills and ability to drive root cause analysis on incidents and

problems

• Must have good experience in HR ABAP Programming. Extensively worked on PA, OM, Time &

Payroll.

• Must have good experience in SAP ESS/MSS modules of HR and all submodules of HR with

specialization in Payroll. Also, worked on PCRs in HR.

• Must have good knowledge on configuring and customizing various HCM Modules i.e. Personnel

Administration, Organizational Management, Time Management, Payroll, ESS/MSS

Required Education and Experience:

• Bachelor’s Degree or equivalent experience

• 8-12 Years of SAP ABAP/HR ABAP experience

• Strong application support experience for a large client

Preferred Education and Experience:

• SAP payroll technical knowledge

• Excellent written and verbal communication skills

• Good logical and analytical skills

• Ability to work independently and guide the technical team

• Worked on ticket handling tool service now.

Additional Eligibility Qualifications: An ideal candidate will have a minimum of 2-3 SAP HCM

Payroll support projects and 8-12 years of experience as SAP HCM ABAP developer.

send cv to vinay.sharmaatcodersbrain.com

• 4+ yrs of experience having strong fundamentals on Windchill Customization & Configurations, Reporting Framework Customization, Workflow Customization , Customer handling
• Strong Customization background around Form Processors, Validator, data utilities, Form Controllers etc.
• Strong Programming skills in Java/J2EE technologies – JavaScript, GWT, JQuerry, XMLs, JSPs, SQL etc.
• Deep Knowledge in Windchill architecture

• Experience in atleast one full lifecycle PLM implementation with Windchill.
• Should have strong coding skills in Windchill development and Customization, ThingWorx Navigate Development (Mandatory), Thing Worx Architecture Configurations Mashup creation, ThingWorx and Windchill Upgrade

• Should have Build and Configuration management (Mandatory) - HPQC \JIRA\Azure\SVN\GITHUB \ Ant
• Knowledge & Experience in Build and Release process
• Having worked on custom upgrade will be a plus.
• Understanding of application s development environment, Database, data management and infrastructure capabilities and constraints. Understanding of Database administration, Database design and performance Tuning
• Follow Quality processes for tasks with appropriate reviews. Participate in sharing knowledge within the team.

We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Roles and Responsibilities:

• Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
• Develop programs in Scala and Python as part of data cleaning and processing.
• Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.  
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
• Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Provide high operational excellence guaranteeing high availability and platform stability.
• Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Skills:

• Experience with Big Data pipeline, Big Data analytics, Data warehousing.
• Experience with SQL/No-SQL, schema design and dimensional data modeling.
• Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
• Experience in designing systems that process structured as well as unstructured data at large scale.
• Experience in AWS/Spark/Java/Scala/Python development.
• Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
• Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
• Prior exposure to streaming data sources such as Kafka.
• Should have knowledge on Shell Scripting and Python scripting.
• High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
• Experience with NoSQL databases such as Cassandra / MongoDB.
• Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
• Experience building and deploying applications on on-premise and cloud-based infrastructure.
• Having a good understanding of machine learning landscape and concepts. 

Qualifications and Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.

Certifications:

Good to have at least one of the Certifications listed here:

    AZ 900 - Azure Fundamentals

    DP 200, DP 201, DP 203, AZ 204 - Data Engineering

    AZ 400 - Devops Certification