Project Manager

Strong Enterprise Data Modeller profile (Modern Data Platforms)

Mandatory (Experience 1) – Must have 7+ years of experience in Data Modeling or Enterprise Data Architecture, with strong hands-on expertise in designing conceptual, logical, and physical data models for enterprise data platforms

Mandatory (Experience 2) – Must have Strong hands-on experience with enterprise data modeling tools such as Erwin, ER/Studio, PowerDesigner, SQLDBM, or similar enterprise data modeling tools

Mandatory (Experience 3) – Must have Deep understanding of dimensional modeling (Kimball / Inmon methodologies), normalization techniques, and schema design for modern data warehouse environments.

Mandatory (Experience 4) – Proven experience designing data models for modern data platforms such as Snowflake, Databricks, Redshift, Dremio, or similar cloud data warehouse / lakehouse systems.

Mandatory (Experience 5) – Must have strong SQL expertise and schema design skills, with the ability to validate data model implementations and collaborate closely with data engineering teams

Mandatory (Education) – Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related technical field.

Mandatory (Note) – Total experience should not be greater than 14 years

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 Spark 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

LogiNext is looking for a technically savvy and passionate Principle Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 8 to 10 years of experience in data mining, data modeling, and reporting 5+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experience in leading a team required.

Looking for enthusiastic tech driven individuals who can architect a web application, push pixels, design a web API, design a UI and optimize the backend for scalability. Should be thrilled to deep dive into the field of Location Intelligence. 

Hiring for the role of  Backend Developer for our Development team. Apply if you are keen to explore how data-tech is changing the decision intelligence landscape.

Sociometrik is a geospatial data intelligence start-up based out of New Delhi, India - founded in 2019 with the mission of redefining data-backed executive decision making. We measure and quantify physical earth, built structures and human activity using multi-channel data sources like satellite imagery, smartphone mobility, web records and administrative data to power alternative data-based decision support systems for our clients.

• Write effective, scalable and reusable code
• Participate in system design and architecture discussions
• Collaborate with Product Owner to identify optimal ways to implement new features & product enhancements.
• Coordinate with internal teams to understand user requirements and provide technical solutions.
• Create UI mock-ups and transform them into quality product features consistent with the Product Owner’s vision.

• Minimum 3 years of work experience as a backend developer
• Minimum 3 years experience in Node.js
• Must have Experience working in a Typescript codebase
• Experience with Leaflet.JS, Google Maps API, or Geospatial projects are a "Nice to Have"
• Exposure to deck.gl is “Good to Have”.
• Proficiency with HTML, CSS, JavaScript and jQuery
• Must have Experience collaborating in a team environment

• An analytical bent of mind
• Good time management skills
• Curiosity for learning
• Creative vision
• Team spirit and good problem-solving skills

Hiring Process

Below is our hiring process for this position. We will reach out or send a rejection notice to most candidates within 1-5 business days of applying. Sociometrik promises to value your time and professionalism in every step of the process.

• Quick Screening 
• Interview with Technical Lead

• Final Interview with Leadership

Requirements

• 2+ years of experience with one of the top frontend frameworks - React (preferred)/ Angular / Vue
• Solid understanding of modern CSS methodologies like SCSS, SASS
• Exposure to latest developments in UI development like PWA, Single Page Apps, Hybrid Apps, Responsive web design etc
• Working knowledge of RESTful APIs, HTTP 2, Socket Connections
• Deep understanding of Javascript topics including the V8 Engine, Async, Memory Management, Duplex Communication.
• Experienced in Unit / Integration / Visual Testing.
• Ability to develop pixel-perfect web pages from designs
• Prior startup experience is a plus

· 3+ years java development experience with JSE/JEE, Java based Micro-services framework and implementation, Spring framework, Hibernate framework, SQL etc

· Hands on experience on Spring boot & Microservices .

· Strong knowledge of micro-service logging, monitoring, debugging and testing

· Implementations experience of micro-service integration, packaging, build automation and deployment.

· Object Oriented analysis and design using common design patterns.

Key Account Sales Manager:

Location Bangalore

US Based MNC.

 Responsible for prospecting, developing & managing the assigned Research and Applied business customers in driving sales to meet the sales & marketing objectives as well as targets.
B2B Sales,New client acquisition.
Target Pharma Companies & Research Industry to sell lab chemicals