11+ SQR Jobs in India

Peoplesoft Technical - SSE

Sr.Software Engineer with 5 to 9 years of experience in PeopleSoft

 

Mandatory:

Good knowledge and minimum 5 years hands-on Technical experience on Application Designer, PeopleCode, Application Engine, Component Interface, Application Package and Integration Broker.

Good Verbal & Written communication Skills

 

Preferred:

Sound techno-functional and business process conceptual knowledge on Peoplesoft Finance procure to pay modules - AP,GL,PC, AM, PO, ePro, SCMT, Catalog Management & eSettlements.

Experience on reporting tools like BI Publisher, SQR, PS Query, PS Security, and nVision reports will be added advantage.

Worked in Upgrade/ Support/Development projects in PeopleSoft Financials.

Worked on all phases of a project - design, development, testing etc.

Knowledge in mainframes would be an added advantage

We are looking for an exceptionally talented Lead data engineer who has exposure in implementing AWS services to build data pipelines, api integration and designing data warehouse. Candidate with both hands-on and leadership capabilities will be ideal for this position.

 

Qualification: At least a bachelor’s degree in Science, Engineering, Applied Mathematics. Preferred Masters degree

 

Job Responsibilities:

• Total 6+ years of experience as a Data Engineer and 2+ years of experience in managing a team

• Have minimum 3 years of AWS Cloud experience.

• Well versed in languages such as Python, PySpark, SQL, NodeJS etc

• Has extensive experience in the real-timeSpark ecosystem and has worked on both real time and batch processing

• Have experience in AWS Glue, EMR, DMS, Lambda, S3, DynamoDB, Step functions, Airflow, RDS, Aurora etc.

• Experience with modern Database systems such as Redshift, Presto, Hive etc.

• Worked on building data lakes in the past on S3 or Apache Hudi

• Solid understanding of Data Warehousing Concepts

• Good to have experience on tools such as Kafka or Kinesis

• Good to have AWS Developer Associate or Solutions Architect Associate Certification

• Have experience in managing a team

Job Title: Support Engineer L3 Job Location: Chennai
We CondéNast are looking for a Support engineer Level 2 who would be responsible for
monitoring and maintaining the production systems to ensure the business continuity is
maintained. Your Responsibilities would also include prompt communication to business
and internal teams about process delays, stability, issue, resolutions.
Primary Responsibilities
● 5+ years experience in Production support
● The Support Data Engineer is responsible for monitoring of the data pipelines
that are in production.
● Level 3 support activities - Analysing issue, debug programs & Jobs, bug fix
● The position will contribute to the monitoring, rerun or reschedule, code fix
of pipelines for a variety of projects on a daily basis.
● Escalate failures to Data-Team/DevOps incase of Infrastructure Failures or unable
to revive the data-pipelines.
● Ensure accurate alerts are raised incase of pipeline failures and corresponding
stakeholders (Business/Data Teams) are notified about the same within the
agreed upon SLAs.
● Prepare and present success/failure metrics by accurately logging the
monitoring stats.
● Able to work in shifts to provide overlap with US Business teams
● Other duties as requested or assigned.
Desired Skills & Qualification
● Have Strong working knowledge of Pyspark, Informatica, SQL(PRESTO), Batch
Handling through schedulers(databricks, Astronomer will be an
advantage),AWS-S3, SQL, Airflow and Hive/Presto
● Have basic knowledge on Shell scripts and/or Bash commands.
● Able to execute queries in Databases and produce outputs.
● Able to understand and execute the steps provided by Data-Team to
revive data-pipelines.
● Strong verbal, written communication skills and strong interpersonal
skills.
● Graduate/Diploma in computer science or information technology.
About Condé Nast
CONDÉ NAST GLOBAL
Condé Nast is a global media house with over a century of distinguished publishing
history. With a portfolio of iconic brands like Vogue, GQ, Vanity Fair, The New Yorker and
Bon Appétit, we at Condé Nast aim to tell powerful, compelling stories of communities,
culture and the contemporary world. Our operations are headquartered in New York and
London, with colleagues and collaborators in 32 markets across the world, including
France, Germany, India, China, Japan, Spain, Italy, Russia, Mexico, and Latin America.
Condé Nast has been raising the industry standards and setting records for excellence in
the publishing space. Today, our brands reach over 1 billion people in print, online, video,
and social media.
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and
social platforms - in other words, a staggering amount of user data. Condé Nast made the
right move to invest heavily in understanding this data and formed a whole new Data
team entirely dedicated to data processing, engineering, analytics, and visualization. This
team helps drive engagement, fuel process innovation, further content enrichment, and
increase market revenue. The Data team aimed to create a company culture where data
was the common language and facilitate an environment where insights shared in
real-time could improve performance. The Global Data team operates out of Los Angeles,
New York, Chennai, and London. The team at Condé Nast Chennai works extensively with
data to amplify its brands' digital capabilities and boost online revenue. We are broadly
divided into four groups, Data Intelligence, Data Engineering, Data Science, and
Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create
data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create
diverse forms of self-expression. At Condé Nast, we encourage the imaginative and
celebrate the extraordinary. We are a media company for the future, with a remarkable
past. We are Condé Nast, and It Starts Here.

What you will do
● Operate as a key senior team member within the Engineering team driving execution strategies and implementation of product roadmap
● Lead one or more squads of engineers (front-end and back-end) - hiring, managing them as well as 1:1 coaching and mentoring them to advance in their careers
● Lead work in tandem with Product Squads (including PM, Designers, Analysts) and other internal stakeholders to strategize on and build world-class product/s
● Develop scope and objectives of projects and sprints based on technical feasibility, keeping relevant stakeholders in the loop, and ensuring engineering team delivers consistently on the same
● Ensure engineering bandwidth based on availability and allocation, and develop and maintain detailed project plan to track progress and set expectations with engineering squad/s
● Perform regular risk management to evaluate and minimize project risks
● Manage own time and bandwidth with being hands-on as required on a regular basis.
● Performing research and finding opportunities to utilize development best practices, forming guidelines to improve system productivity, and working on scaling and monitoring.
● Scale technology architecture and team to drive short and long term product growth
● Be a key engineering voice for Virtual Internships in the external world, showcasing the world-class capabilities of the engineering team through blog, posts, events and more

REQUIREMENTS
Must haves
● Overall 4 - 8 years of product engineering experience (ideally full stack)
● 1+ years of experience of managed engineering teams that have a strong record of developing and delivering world-class products
● Experience leading teams/working in an EPD/Squad structure working closely with PM, Designers, Analysts, Engineers and QA
● Deep technical skills and expertise but lean more on leadership skills to get the job done
● Past experience with MERN/MEAN Stack along with good exposure building scalable and distributed systems using microservices
● Good grasp and understanding of technical skills (at least a few):
 Front-end - HTML, CSS, React.js, Webpack, Redux, Javascript, Enzyme
 Back-end - Node.js, SQL, Redis, RestAPI

● Strong communication and inter-personal skills, especially to streamline flow of information between Engineering and other teams/departments, as well as strong conflict resolution skills
● Good at creative problem solving and critical thinking to resolve issues quickly for Engineers and other teams

Good to have
● Bachelor’s degree in computer science, information technology, or a similar field
● Previous experience on recruiting engineers and coaching/mentoring them
● Experience with high and low level software development concepts such as Scaling, OOP, Loadn Balancers, Storage, Application server protocols like HTTP, Websocket, etc.
● Experience working with complex data structures and data architecture

Bonus ‘to-haves’
● Experience with a (any) set of incredible product development and task management tools (such as ClickUp, JIRA, etc)

Sr. HR Applications Architect

 

Job Title – Technical Solution Architect/ Sr HR Applications Architect

Team – GIS

Role Type – Individual Contributor

Key relationships –

HR leads of various verticals

Technology and implementation teams

 

You will be supported by your peers and experts across many fields who will help you succeed.

 

Job Responsibilities:

COMPANY HR-Applications team is looking for a passionate, engaging Sr HR Applications Technical Architect to join our growing team. This role will perform Technology evaluation, Identification, Solution Design, Execute the design for entire stack of HR-Applications echo-system and perform Technical Production Support.

 

Designs, develops, modifies, debugs and evaluates programs for functional areas, including but not limited to finance, human resources, manufacturing and marketing. Analyzes existing programs or formulates logic for new systems, devises logic procedures, prepares flowcharting, performs coding and tests/debugs programs. Develops conversion and system implementation plans. Prepares and obtains approval of system and programming documentation. Recommends changes in development, maintenance and system standards. Trains users in conversion and implementation of system. May be internal or external, client-focused, working in conjunction with Professional Services and outsourcing functions. May include company-wide, web-enabled solutions.

 

Role Purpose:

Lead design and implementation of the HR systems of the organization mainly in SAP SuccessFactors and Cornerstone on Demand

Interface with business stakeholders, assess feasibility of the requirements and guide the Technology Leads and Implementation teams to align the solution development

Front-run the LMS migration initiative from SAP SuccessFactors to Cornerstone on Demand ensuring a scalable solution to accommodate future enhancements and adoption to all BU’s of Company

Explore new technologies and practices, be a part of the core team building an HR COE and define the standards and best practices

Act as a SPOC/L3 for the current product support related activities and the Learning HR-Echo System

Cross- training teams on knowledge transfer across business functions

 

Qualifications & Experience:

Excellent grasp of one or more HR systems, preferably SuccessFactors and Cornerstone on Demand

Proven experience leading System Integrations, Data Migrations, Implementations, Assessments and Process Improvements on technical stack

10+ years of experience as an HR Enterprise Architect

Knowledge of Learning Management Systems (LMS) is desired

Experience working in a Global Production support model

 

The position will coordinate closely with the head of engineering, the architect, and product managers to build a new healthcare software platform, Document customer meetings well and assess new requirements, build and manage relationships with key personnel, successful project delivery.
5 - 7 years of Healthcare Industry interoperability knowledge (HL7 and FHIR) for Medical Record sharing between Healthcare Organizations
Excellent familiarity with Interoperability Healthcare Standards Organizations and Initiatives
Excellent knowledge of FHIR specifications
Experience building HL7

Company Profile:

 

Easebuzz is a payment solutions (fintech organisation) company which enables online merchants to accept, process and disburse payments through developer friendly APIs. We are focusing on building plug n play products including the payment infrastructure to solve complete business problems. Definitely a wonderful place where all the actions related to payments, lending, subscription, eKYC is happening at the same time.

 

We have been consistently profitable and are constantly developing new innovative products, as a result, we are able to grow 4x over the past year alone. We are well capitalised and have recently closed a fundraise of $4M in March, 2021 from prominent VC firms and angel investors. The company is based out of Pune and has a total strength of 180 employees. Easebuzz’s corporate culture is tied into the vision of building a workplace which breeds open communication and minimal bureaucracy. An equal opportunity employer, we welcome and encourage diversity in the workplace. One thing you can be sure of is that you will be surrounded by colleagues who are committed to helping each other grow.

 

Easebuzz Pvt. Ltd. has its presence in Pune, Bangalore, Gurugram.

 

Salary: As per company standards.

 

Designation: Data Engineering

 

Location: Pune

 

Experience with ETL, Data Modeling, and Data Architecture

Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services in combination with 3rd parties
- Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue.

Experience with AWS cloud data lake for development of real-time or near real-time use cases

Experience with messaging systems such as Kafka/Kinesis for real time data ingestion and processing

Build data pipeline frameworks to automate high-volume and real-time data delivery

Create prototypes and proof-of-concepts for iterative development.

Experience with NoSQL databases, such as DynamoDB, MongoDB etc

Create and maintain optimal data pipeline architecture,

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.

Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.

Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Evangelize a very high standard of quality, reliability and performance for data models and algorithms that can be streamlined into the engineering and sciences workflow

Build and enhance data pipeline architecture by designing and implementing data ingestion solutions.

 

Employment Type

Full-time

 

Product Support Engineer (L1 Support) – Immediate Requirement.

Key skills

• 1-3 years exp in Product Support Role.
• Need to Understand the product and features, to demonstrate the end users.
• Sound knowledge on Java and SQL
• Need to Analyze and Resolve the Product specific queries, MySQL.
• Consistently Deliver the customer requirements.
• Engage with Development team and manage the progress of cases.
• Should be able to cope up with high pressure work environment.
• Work model will be 24X7.

 

Must require

• Good Communication both verbal and written
• Analytical skills
• Team player
• Preferred male applicants only