Data Engineer

To be successful in this role, you should possess

• Overall Industry experience 2-6 years
• Bachelor’s Degree in analytical subject area. E.g., Engineering, Statistics.... etc.
• Proficient in advanced Excel functions and macros, involving complex calculations and pivots
• Exceptional Analytical, problem solving & Logical skills.
• Understanding of relational database concepts and familiar with SQL
• Demonstrable aptitude for Innovation & Problem solving.
• Good communication skills & ability to work across Cross-functional teams.
• Understands complex utility tariffs, rates and programs and converts these into a model.
• Participates in sprint planning & other ceremonies, passionately works towards fulfilling the committed sprint goals.
• Knowledge of and ability to automate routine tasks using Python is a PLUS

Preferred Qualifications:

• Experience in Energy Industry & familiar with basic concepts of Utility (electrical/gas...) tariffs
• Experience & Knowledge with tools like; Microsoft Excel macros, 
• Familiarity with writing programs using Python or Shell scripts.
• Passionate about working with data and data analyses.
• 1+ year experience in Agile methodology.

Roles and responsibilities

• Understands complex utility tariffs, rates and programs and converts these into a model.
• Responsible for analysis of the energy utilization data for cost and usage patterns and derive meaningful patterns
• Responsible for Maintaining the tariff models with timely updates for price, logic or other enhancements as per client requirement.
• Assist delivery team in validating the input data received from client for modelling work.
• Responsible for Communicating & Co-ordinating with Delivery team
• Work with Cross functional teams to resolve issues in the Modelling tool.
• Build and deliver compelling demonstrations/visualizations of products
• Be a lifelong learner and develop your skills continuously
• Contribute to the success of a rapidly growing and evolving organization

Additional Project/Soft Skills:

• Should be able to work independently with India & US based team members.
• Strong verbal and written communication with ability to articulate problems and solutions over phone and emails.
• Strong sense of urgency, with a passion for accuracy and timeliness.
• Ability to work calmly in high pressure situations and manage multiple projects/tasks.
• Ability to work independently and possess superior skills in issue resolution.

Role: Principal Software Engineer

We looking for a passionate Principle Engineer - Analytics to build data products that extract valuable business insights for efficiency and customer experience. This role will require managing, processing and analyzing large amounts of raw information and in scalable databases. This will also involve developing unique data structures and writing algorithms for the entirely new set of products. The candidate will be required to have critical thinking and problem-solving skills. The candidates must be experienced with software development with advanced algorithms and must be able to handle large volume of data. Exposure with statistics and machine learning algorithms is a big plus. The candidate should have some exposure to cloud environment, continuous integration and agile scrum processes.

Responsibilities:

• Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule

• Software Development that creates data driven intelligence in the products which deals with Big Data backends

• Exploratory analysis of the data to be able to come up with efficient data structures and algorithms for given requirements

• The system may or may not involve machine learning models and pipelines but will require advanced algorithm development

• Managing, data in large scale data stores (such as NoSQL DBs, time series DBs, Geospatial DBs etc.)

• Creating metrics and evaluation of algorithm for better accuracy and recall

• Ensuring efficient access and usage of data through the means of indexing, clustering etc.

• Collaborate with engineering and product development teams.

Requirements:

• Master’s or Bachelor’s degree in Engineering in one of these domains - Computer Science, Information Technology, Information Systems, or related field from top-tier school

• OR Master’s degree or higher in Statistics, Mathematics, with hands on background in software development.

• Experience of 8 to 10 year with product development, having done algorithmic work

• 5+ years of experience working with large data sets or do large scale quantitative analysis

• Understanding of SaaS based products and services.

• Strong algorithmic problem-solving skills

• Able to mentor and manage team and take responsibilities of team deadline.

Skill set required:

• In depth Knowledge Python programming languages

• Understanding of software architecture and software design

• Must have fully managed a project with a team

• Having worked with Agile project management practices

• Experience with data processing analytics and visualization tools in Python (such as pandas, matplotlib, Scipy, etc.)

• Strong understanding of SQL and querying to NoSQL database (eg. Mongo, Casandra, Redis

#HiringAlert

We are looking " Oracle APEX " for Reputed Client @ Permanent Role.

Must Have Skills:

1.Experience in Oracle APEX, SQL / PLSQL concepts, collections, function, procedure, package and types - Mandatory

2. Experience in JASPER / OBIEE reports

Good To Have Skills:

1.Knowledge in Oracle Forms and Reports, JavaScript, HTML, CSS or any other web-based programming language is added advantage (Optional)

2.Key Responsibilities: Design develop test and implement features and code using Oracle Application Express APEX

3. Perform requirements analysis development design test and deployment of custom Oracle applications.

4. Writing SQL queries Views Materialized views PLSQL procedures functions packages triggers cursors collections Ref cursor cursor variables System reference cursor Dynamic SQL

5. Debug code and maintain PL SQL procedures and functions.

6.Optimize existing applications and scripts for both usability and performance.

7. Adherence to policies processes and procedures within your areas of responsibility

8.Evaluate new features and technologies overseeing their implementation into the environment as appropriate.

9.Ability to prioritize, manage, deliver and report on multiple projects simultaneously highly motivated and able to work against aggressive deadlines schedules.

Professional Attributes:

1. Ability to work with minimal supervision.

2. Exhibits strong ethics, positive attitude, and calm demeanor under pressure.

3. Flexible, organized and possesses the ability to work in a fast-paced environment.

Location : Chennai

Job Sector: IT, Software

Job Type: Permanent

Location: Chennai

Experience: 10 - 20 Years

Salary: 12 – 40 LPA

Education: Any Graduate

Notice Period: Immediate

Key Skills: Python, Spark, AWS, SQL, PySpark

Contact at triple eight two zero nine four two double seven

Job Description:

Requirements

• Minimum 12 years experience
• In depth understanding and knowledge on distributed computing with spark.
• Deep understanding of Spark Architecture and internals
• Proven experience in data ingestion, data integration and data analytics with spark, preferably PySpark.
• Expertise in ETL processes, data warehousing and data lakes.
• Hands on with python for Big data and analytics.
• Hands on in agile scrum model is an added advantage.
• Knowledge on CI/CD and orchestration tools is desirable.
• AWS S3, Redshift, Lambda knowledge is preferred

THE IDEAL CANDIDATE WILL

• Engage with executive level stakeholders from client's team to translate business problems to high level solution approach
• Partner closely with practice, and technical teams to craft well-structured comprehensive proposals/ RFP responses clearly highlighting Tredence’s competitive strengths relevant to Client's selection criteria
• Actively explore the client’s business and formulate solution ideas that can improve process efficiency and cut cost, or achieve growth/revenue/profitability targets faster
• Work hands-on across various MLOps problems and provide thought leadership
• Grow and manage large teams with diverse skillsets
• Collaborate, coach, and learn with a growing team of experienced Machine Learning Engineers and Data Scientists

ELIGIBILITY CRITERIA

• BE/BTech/MTech (Specialization/courses in ML/DS)
• At-least 7+ years of Consulting services delivery experience
• Very strong problem-solving skills & work ethics
• Possesses strong analytical/logical thinking, storyboarding and executive communication skills
• 5+ years of experience in Python/R, SQL
• 5+ years of experience in NLP algorithms, Regression & Classification Modelling, Time Series Forecasting
• Hands on work experience in DevOps
• Should have good knowledge in different deployment type like PaaS, SaaS, IaaS
• Exposure on cloud technologies like Azure, AWS or GCP
• Knowledge in python and packages for data analysis (scikit-learn, scipy, numpy, pandas, matplotlib).
• Knowledge of Deep Learning frameworks: Keras, Tensorflow, PyTorch, etc
• Experience with one or more Container-ecosystem (Docker, Kubernetes)
• Experience in building orchestration pipeline to convert plain python models into a deployable API/RESTful endpoint.
• Good understanding of OOP & Data Structures concepts

Nice to Have:

• Exposure to deployment strategies like: Blue/Green, Canary, AB Testing, Multi-arm Bandit
• Experience in Helm is a plus
• Strong understanding of data infrastructure, data warehouse, or data engineering

You can expect to –

• Work with world’ biggest retailers and help them solve some of their most critical problems. Tredence is a preferred analytics vendor for some of the largest Retailers across the globe
• Create multi-million Dollar business opportunities by leveraging impact mindset, cutting edge solutions and industry best practices.
• Work in a diverse environment that keeps evolving
• Hone your entrepreneurial skills as you contribute to growth of the organization

JD for IOT DE:

The role requires experience in Azure core technologies – IoT Hub/ Event Hub, Stream Analytics, IoT Central, Azure Data Lake Storage, Azure Cosmos, Azure Data Factory, Azure SQL Database, Azure HDInsight / Databricks, SQL data warehouse.

You Have:

• Minimum 2 years of software development experience
• Minimum 2 years of experience in IoT/streaming data pipelines solution development
• Bachelor's and/or Master’s degree in computer science
• Strong Consulting skills in data management including data governance, data quality, security, data integration, processing, and provisioning
• Delivered data management projects with real-time/near real-time data insights delivery on Azure Cloud
• Translated complex analytical requirements into the technical design including data models, ETLs, and Dashboards / Reports
• Experience deploying dashboards and self-service analytics solutions on both relational and non-relational databases
• Experience with different computing paradigms in databases such as In-Memory, Distributed, Massively Parallel Processing
• Successfully delivered large scale IOT data management initiatives covering Plan, Design, Build and Deploy phases leveraging different delivery methodologies including Agile
• Experience in handling telemetry data with Spark Streaming, Kafka, Flink, Scala, Pyspark, Spark SQL.
• Hands-on experience on containers and Dockers
• Exposure to streaming protocols like MQTT and AMQP
• Knowledge of OT network protocols like OPC UA, CAN Bus, and similar protocols
• Strong knowledge of continuous integration, static code analysis, and test-driven development
• Experience in delivering projects in a highly collaborative delivery model with teams at onsite and offshore
• Must have excellent analytical and problem-solving skills
• Delivered change management initiatives focused on driving data platforms adoption across the enterprise
• Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations
   

Roles & Responsibilities
 

You Will:

• Translate functional requirements into technical design
• Interact with clients and internal stakeholders to understand the data and platform requirements in detail and determine core Azure services needed to fulfill the technical design
• Design, Develop and Deliver data integration interfaces in ADF and Azure Databricks
• Design, Develop and Deliver data provisioning interfaces to fulfill consumption needs
• Deliver data models on Azure platform, it could be on Azure Cosmos, SQL DW / Synapse, or SQL
• Advise clients on ML Engineering and deploying ML Ops at Scale on AKS
• Automate core activities to minimize the delivery lead times and improve the overall quality
• Optimize platform cost by selecting the right platform services and architecting the solution in a cost-effective manner
• Deploy Azure DevOps and CI CD processes
• Deploy logging and monitoring across the different integration points for critical alerts