
Publicis Sapient Overview:
The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution
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Job Summary:
As Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution
The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. You are also required to have hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms.
Role & Responsibilities:
Your role is focused on Design, Development and delivery of solutions involving:
• Data Integration, Processing & Governance
• Data Storage and Computation Frameworks, Performance Optimizations
• Analytics & Visualizations
• Infrastructure & Cloud Computing
• Data Management Platforms
• Implement scalable architectural models for data processing and storage
• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time mode
• Build functionality for data analytics, search and aggregation
Experience Guidelines:
Mandatory Experience and Competencies:
# Competency
1.Overall 5+ years of IT experience with 3+ years in Data related technologies
2.Minimum 2.5 years of experience in Big Data technologies and working exposure in at least one cloud platform on related data services (AWS / Azure / GCP)
3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline.
4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable
5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc
6.Well-versed and working knowledge with data platform related services on at least 1 cloud platform, IAM and data security
Preferred Experience and Knowledge (Good to Have):
# Competency
1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience
2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc
3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures
4.Performance tuning and optimization of data pipelines
5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality
6.Cloud data specialty and other related Big data technology certifications
Personal Attributes:
• Strong written and verbal communication skills
• Articulation skills
• Good team player
• Self-starter who requires minimal oversight
• Ability to prioritize and manage multiple tasks
• Process orientation and the ability to define and set up processes

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Hi,
PFB the Job Description for Data Science with ML
Type of hire : PWD and Non PWD
Employment Type : Full Time
Notice Period : Immediate Joiner
Work Days : Mon - Fri
About Ampera:
Ampera Technologies, a purpose driven Digital IT Services with primary focus on supporting our client with their Data, AI / ML, Accessibility and other Digital IT needs. We also ensure that equal opportunities are provided to Persons with Disabilities Talent. Ampera Technologies has its Global Headquarters in Chicago, USA and its Global Delivery Center is based out of Chennai, India. We are actively expanding our Tech Delivery team in Chennai and across India. We offer exciting benefits for our teams, such as 1) Hybrid and Remote work options available, 2) Opportunity to work directly with our Global Enterprise Clients, 3) Opportunity to learn and implement evolving Technologies, 4) Comprehensive healthcare, and 5) Conducive environment for Persons with Disability Talent meeting Physical and Digital Accessibility standards
About the Role
We are looking for a skilled Data Scientist with strong Machine Learning experience to design, develop, and deploy data-driven solutions. The role involves working with large datasets, building predictive and ML models, and collaborating with cross-functional teams to translate business problems into analytical solutions.
Key Responsibilities
- Analyze large, structured and unstructured datasets to derive actionable insights.
- Design, build, validate, and deploy Machine Learning models for prediction, classification, recommendation, and optimization.
- Apply statistical analysis, feature engineering, and model evaluation techniques.
- Work closely with business stakeholders to understand requirements and convert them into data science solutions.
- Develop end-to-end ML pipelines including data preprocessing, model training, testing, and deployment.
- Monitor model performance and retrain models as required.
- Document assumptions, methodologies, and results clearly.
- Collaborate with data engineers and software teams to integrate models into production systems.
- Stay updated with the latest advancements in data science and machine learning.
Required Skills & Qualifications
- Bachelor’s or Master’s degree in computer science, Data Science, Statistics, Mathematics, or related fields.
- 5+ years of hands-on experience in Data Science and Machine Learning.
- Strong proficiency in Python (NumPy, Pandas, Scikit-learn).
- Experience with ML algorithms:
- Regression, Classification, Clustering
- Decision Trees, Random Forest, Gradient Boosting
- SVM, KNN, Naïve Bayes
- Solid understanding of statistics, probability, and linear algebra.
- Experience with data visualization tools (Matplotlib, Seaborn, Power BI, Tableau – preferred).
- Experience working with SQL and relational databases.
- Knowledge of model evaluation metrics and optimization techniques.
Preferred / Good to Have
- Experience with Deep Learning frameworks (TensorFlow, PyTorch, Keras).
- Exposure to NLP, Computer Vision, or Time Series forecasting.
- Experience with big data technologies (Spark, Hadoop).
- Familiarity with cloud platforms (AWS, Azure, GCP).
- Experience with MLOps, CI/CD pipelines, and model deployment.
Soft Skills
- Strong analytical and problem-solving abilities.
- Excellent communication and stakeholder interaction skills.
- Ability to work independently and in cross-functional teams.
- Curiosity and willingness to learn new tools and techniques.
Accessibility & Inclusion Statement
We are committed to creating an inclusive environment for all employees, including persons with disabilities. Reasonable accommodations will be provided upon request.
Equal Opportunity Employer (EOE) Statement
Ampera Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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- Starting and stopping SAP instance.
- User administration – setup and maintenance.
- Authorization / Role / Profiles – setup and maintenance.
- Setup SAP security.
- Maintenance of system's health.
- Monitor system performance and logs.
- Spool and print administration.
- Maintain system landscape.
Primary purpose of the role:
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Major responsibilities & deliverables:
- Great skills in HTML, CSS, JavaScript and cross browser implementations.
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- Experience and knowledge about the cool stuff in HTML5 and CSS3.
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- Awareness of current design trends in the visual arts, working knowledge of the latest computer packages and an understanding time limits which can impact on the design.
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You will be partnering with the Product Owners, Engineers, Data Scientists, and other colleagues, working in a cross-functional and distributed team. Together, you will be actively involved in defining the customers’ and the business’ problems.
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You’ll identify the key metrics for the projects you are involved in and take ownership for achieving their success.
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You will research and bring forward new findings and learnings for reaching complex company goals - such as launching in new territories and offering new products.
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From wire-framing to designing end-to-end flows and prototypes, you will be in charge of designing products that solve problems in a simple and elegant way while taking care of every small detail.
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We love turning the complexity of a chaotic world into the simplicity of a beautiful solution that truly solves customer needs, thus you will be running user testing workshops and guerrilla testing
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Once that’s done, iterate, implement with the technical team, and present the final solution during the design reviews;
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We are not stopping here, we believe in continuous improvement, so you’ll review the performance of the release, identify learnings and find ways to enhance it.
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To ensure we are speaking the same language as a team, we have the support of a design system - so you’ll kick in!
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As a Lead Designer, you will have more responsibility around hiring, people management, and ownership of the product (or family of products) that you work on. You will also interact with our most senior stakeholders, and you will closely mentor a small team of Designers.
SteelEye is the only regulatory compliance technology and data analytics firm that offers transaction reporting, record keeping, trade reconstruction, best execution and data insight in one comprehensive solution. The firm’s scalable secure data storage platform offers encryption at rest and in flight and best-in-class analytics to help financial firms meet regulatory obligations and gain competitive advantage.
The company has a highly-experienced management team and a strong board, who have decades of technology and management experience and worked in senior positions at many leading international financial businesses.
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Being part of a start-up can be equally exciting as it is challenging. You will be part of the SteelEye team not just because of your talent but also because of your entrepreneurial flare which we thrive on at SteelEye. This means we want you to be curious, contribute, ask questions and share ideas. We encourage you to get involved in helping shape our business.
What You'll Do:
- Develop new user-facing features using React.js and Redux
- Build robust, reusable, and easy-to-maintain components
- Translate designs and mockups into re-usable, high-quality code
- Optimize components for maximum performance
- Ensure software is up-to-date with the latest technologies
- Triage issues and enhancing core features for a rapidly-growing application
What We're Looking For:
- You are a well-organized self-starter with excellent communication skills
- You have a thorough and demonstrable understanding of React.js and its core principles
- You have broad experience and strong proficiency in JavaScript based technologies
- You have the ability to translate business requirements into high-quality, high-performance code
- You are comfortable working in a fast-paced environment and can adapt to changing requirements
- You are familiar and up-to-date with common front-end dev tools (e.g. Babel, Webpack, NPM, Yarn, etc...)
- You are familiar with RESTful APIs
- You have experience with code versioning (Git) and CI/CD (Jenkins, Circle, etc...) tools
- Familiarity/Experience with Elasticsearch and/or D3 is a HUGE plus
- Minimum 3 years experience with React.js
About SteelEye Culture:
- Flexible work hours
- Excellent salary exceeding industry standards
- Flexible WFH schedule
- 30+ holidays in a year
- Measured on output and not input
- Regular team outings and drinks!
Diversity/equal opportunity statement
We want our Employees to work in a discrimination-free environment. These are not just words on a page. They are part of our commitment to creating a better version of ourselves and the society we live in.












