Greetings , Wissen Technology is Hiring for the position of Data Engineer
Please find the Job Description for your Reference:
JD
- Design, develop, and maintain data pipelines on AWS EMR (Elastic MapReduce) to support data processing and analytics.
- Implement data ingestion processes from various sources including APIs, databases, and flat files.
- Optimize and tune big data workflows for performance and scalability.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
- Manage and monitor EMR clusters, ensuring high availability and reliability.
- Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and store data in data lakes and data warehouses.
- Implement data security best practices to ensure data is protected and compliant with relevant regulations.
- Create and maintain technical documentation related to data pipelines, workflows, and infrastructure.
- Troubleshoot and resolve issues related to data processing and EMR cluster performance.
Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- 5+ years of experience in data engineering, with a focus on big data technologies.
- Strong experience with AWS services, particularly EMR, S3, Redshift, Lambda, and Glue.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with big data frameworks and tools such as Hadoop, Spark, Hive, and Pig.
- Solid understanding of data modeling, ETL processes, and data warehousing concepts.
- Experience with SQL and NoSQL databases.
- Familiarity with CI/CD pipelines and version control systems (e.g., Git).
- Strong problem-solving skills and the ability to work independently and collaboratively in a team environment
About Wissen Technology
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
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Primary Skills
DynamoDB, Java, Kafka, Spark, Amazon Redshift, AWS Lake Formation, AWS Glue, Python
Skills:
Good work experience showing growth as a Data Engineer.
Hands On programming experience
Implementation Experience on Kafka, Kinesis, Spark, AWS Glue, AWS Lake Formation.
Excellent knowledge in: Python, Scala/Java, Spark, AWS (Lambda, Step Functions, Dynamodb, EMR), Terraform, UI (Angular), Git, Mavena
Experience of performance optimization in Batch and Real time processing applications
Expertise in Data Governance and Data Security Implementation
Good hands-on design and programming skills building reusable tools and products Experience developing in AWS or similar cloud platforms. Preferred:, ECS, EKS, S3, EMR, DynamoDB, Aurora, Redshift, Quick Sight or similar.
Familiarity with systems with very high volume of transactions, micro service design, or data processing pipelines (Spark).
Knowledge and hands-on experience with server less technologies such as Lambda, MSK, MWAA, Kinesis Analytics a plus.
Expertise in practices like Agile, Peer reviews, Continuous Integration
Roles and responsibilities:
Determining project requirements and developing work schedules for the team.
Delegating tasks and achieving daily, weekly, and monthly goals.
Responsible for designing, building, testing, and deploying the software releases.
Salary: 25LPA-40LPA
The role is with a Fintech Credit Card company based in Pune within the Decision Science team. (OneCard )
About
Credit cards haven't changed much for over half a century so our team of seasoned bankers, technologists, and designers set out to redefine the credit card for you - the consumer. The result is OneCard - a credit card reimagined for the mobile generation. OneCard is India's best metal credit card built with full-stack tech. It is backed by the principles of simplicity, transparency, and giving back control to the user.
The Engineering Challenge
“Re-imaging credit and payments from First Principles”
Payments is an interesting engineering challenge in itself with requirements of low latency, transactional guarantees, security, and high scalability. When we add credit and engagement into the mix, the challenge becomes even more interesting with underwriting and recommendation algorithms working on large data sets. We have eliminated the current call center, sales agent, and SMS-based processes with a mobile app that puts the customers in complete control. To stay agile, the entire stack is built on the cloud with modern technologies.
Purpose of Role :
- Develop and implement the collection analytics and strategy function for the credit cards. Use analysis and customer insights to develop optimum strategy.
CANDIDATE PROFILE :
- Successful candidates will have in-depth knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques. They will be an adept communicator with good interpersonal skills to work with senior stake holders in India to grow revenue primarily through identifying / delivering / creating new, profitable analytics solutions.
We are looking for someone who:
- Proven track record in collection and risk analytics preferably in Indian BFSI industry. This is a must.
- Identify & deliver appropriate analytics solutions
- Experienced in Analytics team management
Essential Duties and Responsibilities :
- Responsible for delivering high quality analytical and value added services
- Responsible for automating insights and proactive actions on them to mitigate collection Risk.
- Work closely with the internal team members to deliver the solution
- Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solution
- Use analysis and customer insights to develop value propositions for customers
- Maintain and enhance the suite of suitable analytics products.
- Actively seek to share knowledge within the team
- Share findings with peers from other teams and management where required
- Actively contribute to setting best practice processes.
Knowledge, Experience and Qualifications :
Knowledge :
- Good understanding of collection analytics preferably in Retail lending industry.
- Knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques and market trends
- Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Multiple Regression, LOGIT, PROBIT, time- series modelling, CHAID, CART etc.
- Knowledge of Machine learning & AI algorithms such as Gradient Boost, KNN, etc.
- Understanding of decisioning and portfolio management in banking and financial services would be added advantage
- Understanding of credit bureau would be an added advantage
Experience :
- 4 to 8 years of work experience in core analytics function of a large bank / consulting firm.
- Experience on working on Collection analytics is must
- Experience on handling large data volumes using data analysis tools and generating good data insights
- Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to technical and non-technical audiences
- Excellent communication, presentation and writing skills Strong interpersonal skills
- Motivated to meet and exceed stretch targets
- Ability to make the right judgments in the face of complexity and uncertainty
- Excellent relationship and networking skills across our different business and geographies
Qualifications :
- Masters degree in Statistics, Mathematics, Economics, Business Management or Engineering from a reputed college
Role - Senior Analytics Executive
Experience - 1-2 years
Location - Open (Remote working option available)
About Company :-
Our team is made up of best in class digital, offline, and integrated media experts who work together to enhance media's contribution to Google's business. Our team operates in a seamlessly integrated way across strategy, planning, investment, creative, business sciences and analytics, data and technology. The profile of people who work are world class, committed to establishing a new high water mark in the media industry.
About the role/ Some of the things we'd like you to do:
- Support the Analytics team and other stakeholders with analytics agendas impacting campaigns, measurement frameworks, and campaign optimization.
- Conduct thorough data analysis using various tools and software within MFG to provide insights and recommendations that align with client needs.
- Collaborate with internal stakeholders across disciplines and countries to understand client objectives, providing support and expertise in data and analytics while identifying opportunities for advanced analytics solutions.
- Formulate strategic recommendations with the team based on gathered insights, and support the delivery of reporting for clients.
- Continuously improve project performance and processes by collaborating with the team to develop new tools and solutions.
About yourself/ Requirements:
- Bachelor's degree in a related quantitative field (e.g. Statistics, Business Analytics, Economics, Computer Science, etc.)
- 1-2 years of relevant work experience in data analysis; digital media experience desired
- Strong knowledge of various data analysis tools and software (e.g., Excel, SQL, R, Python, Tableau).
- Is proficient in statistical principles and how they apply to tasks/work items.
- Excellent problem-solving skills and the ability to analyze complex data sets.
- Strong communication and interpersonal skills, with the ability to present data-driven insights to both technical and non-technical audiences.
- Ability to work independently and as part of a team, with strong collaboration skills.
- Demonstrated ability to manage multiple projects and prioritize tasks effectively.
- Passion tor continuous learning and staying current with industry trends and best practices in analytics.
About Us:
We are a VC-funded startup solving one of the biggest transportation problems India faces. Most passengers in India travel long distance by IRCTC trains. At time of booking, approx 1 out of every 2 passengers end up with a Waitlisted or RAC ticket. This creates a lot of anxiety for passengers, as Railway only announces only 4 hour before departure if they have a confirmed seat. We solve this problem through our Waitlist & RAC Protection. Protection can be bought against each IRCTC ticket at time of booking. If train ticket is not confirmed, we fly the passenger to the destination. Our team consists of 3 Founders from IIT, IIM and ISB.
Functional Experience:
- Computer Science or IT Engineering background with solid understanding of basics of Data Structures and Algorithms
- 2+ years of data science experience working with large datasets
- Expertise in Python packages like pandas, numPy, sklearn, matplotlib, seaborn, keras and tensorflow
- Expertise in Big Data technologies like Hadoop, Cassandra and PostgreSQL
- Expertise in Cloud computing on AWS with EC2, AutoML, Lambda and RDS
- Good knowledge of Machine Learning and Statistical time series analysis (optional)
- Unparalleled logical ability making you the go to guy for all things related to data
- You love coding like a hobby and are up for a challenge!
Cultural:
- Assume a strong sense of ownership of analytics : Design, develop & deploy
- Collaborate with senior management, operations & business team
- Ensure Quality & sustainability of the architecture
- Motivation to join an early stage startup should go beyond compensation
- 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.
Description
As a Render Technical Director (Render TD), you will be responsible for ensuring the smooth running of the rendering and lighting tools, software and workflows used on our award-winning VFX and Feature Animation shows. You will be providing front-line technical support to lighting artists, identifying inefficiencies in workflows and troubleshooting lighting scenes to enable our talented lighting artists to deliver world-class work on each show.
Our Render TDs are highly technical and demonstrate an aptitude for creative problem solving. You will regularly be required to:
- provide face-to-face support and assistance for lighting artists
- assist with the creation of technical robust setups, such as light rigs and scene templates, for use throughout our shows
- contribute to testing and provide feedback for software releases from our R&D teams that impact lighting and rendering
- help identify and resolve inefficiencies in the lighting and rendering pipeline
As well as being able to demonstrate technical skill and initiative, you will need to be an excellent communicator and be able to work enthusiastically in a highly collaborative environment. You will work closely with our Render Supervisors as well as supervisors from other departments, such as Model, Texture, Look Development and FX, to identify and highlight rendering considerations and help optimize their lighting tools and workflows. Your ability to aid communication between these departments in the reporting and resolving of issues and to accurately communicate between technical developers and non-technical artists will help you thrive in this role.
Above all, you will be working as part of a team of exceptionally talented TDs and Render Supervisors alongside our dynamic and creative R&D department, contributing to the production of exceptional VFX and Animation work on projects ranging from blockbuster epics to television dramas.
Must have:
- Previous experience in the visual effects or a related industry
- Practical experience with lighting and rendering DCCs such as Clarisse, Katana and Houdini
- Experience with path tracing renderers such as Clarisse, Renderman and Mantra
Nice to have:
- Render wrangling experience
- Look development experience
- Shader writing experience
- Python programming skills
- Experience writing tools ands scripts for the lighting pipeline
About Us
We are DNEG, one of the world’s leading VFX and animation studios for the creation of award-winning feature film, television and multiplatform content. We employ nearly 8,000 people with worldwide offices and studios across North America (Los Angeles, Montréal, Toronto, Vancouver), Europe (London) and Asia (Bangalore, Mohali,Chennai, Mumbai).
• Key Skillset: -
• Advanced SQL Skills and good Communication Skills are mandatory.
• Develop and execute detailed Data warehouse related functional, integration and regression test cases, and documentation
• Prioritize testing tasks based on goals and risks of projects and ensure testing milestones, activities and tasks are completed as scheduled.
• Develop and Design Datawarehouse testcases, scenarios, and scripts to ensure quality Data warehouse /BI applications.
• Report the status of test planning, defects and execution activities, including regular status updates to the project team.
• Hands on Experience on any SQL Too
- 5+ years of experience in a Data Engineering role on cloud environment
- Must have good experience in Scala/PySpark (preferably on data-bricks environment)
- Extensive experience with Transact-SQL.
- Experience in Data-bricks/Spark.
- Strong experience in Dataware house projects
- Expertise in database development projects with ETL processes.
- Manage and maintain data engineering pipelines
- Develop batch processing, streaming and integration solutions
- Experienced in building and operationalizing large-scale enterprise data solutions and applications
- Using one or more of Azure data and analytics services in combination with custom solutions
- Azure Data Lake, Azure SQL DW (Synapse), and SQL Database products or equivalent products from other cloud services providers
- In-depth understanding of data management (e. g. permissions, security, and monitoring).
- Cloud repositories for e.g. Azure GitHub, Git
- Experience in an agile environment (Prefer Azure DevOps).
Good to have
- Manage source data access security
- Automate Azure Data Factory pipelines
- Continuous Integration/Continuous deployment (CICD) pipelines, Source Repositories
- Experience in implementing and maintaining CICD pipelines
- Power BI understanding, Delta Lake house architecture
- Knowledge of software development best practices.
- Excellent analytical and organization skills.
- Effective working in a team as well as working independently.
- Strong written and verbal communication skills.
- Expertise in database development projects and ETL processes.
Requirements:
- Overall 3 to 5 years of experience in designing and implementing complex large scale Software.
- Good in Python is must.
- Experience in Apache Spark, Scala, Java and Delta Lake
- Experience in designing and implementing templated ETL/ELT data pipelines
- Expert level experience in Data Pipeline Orchestrationusing Apache Airflow for large scale production deployment
- Experience in visualizing data from various tasks in the data pipeline using Apache Zeppelin/Plotly or any other visualization library.
- Log management and log monitoring using ELK/Grafana
- Git Hub Integration
Technology Stack: Apache Spark, Apache Airflow, Python, AWS, EC2, S3, Kubernetes, ELK, Grafana , Apache Arrow, Java
We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.
Skills:
- 5+ years deploying Machine Learning pipelines in large enterprise production systems.
- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.
Roles and Responsibilities:
Deploying ML models into production, and scaling them to serve millions of customers.
Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.
Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.
Provide software design and programming support to projects.
Qualifications & Experience:
Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.