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About the Role
The following Job Specification is intended to reflect the nature, range and context of the work. It identifies the main requirements of the job but is not an exhaustive list of duties.
The Data Analyst role is a vital role as to be a sole point of contact responsible for closely working with various teams internally and closely working with the CTO. This role typically requires the resource to analyse the vast number of datasets and provide a meaningful impact and the result of such data with combination of growth of the company to the management. The role handles large responsibilities of closely communicating with other departments, thus must be someone who really loves his role.
Job Description
- Interpret data, analyze results using statistical techniques and provide ongoing reports
- Develop and implement, data analytics and other strategies that optimize statistical efficiency and quality
- Strong experience at working on databases and good at analytical reasoning
- Acquire data from Finance, Technology, Marketing and Sales data sources and maintain data systems
- Identify, analyze, and interpret trends or patterns in complex data sets
- Should be able to highlight Incorrect data and record the pattern of Drawbacks relating to the cleansing of data modules
- Must be involved in reconciliation of data sets and components across verticals depending on the need
- Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
- Work with the management to prioritize business and information needs
- Locate and define new process improvement opportunities
Required Skills:
- Proven working experience as a data analyst or business data analyst
- Sound experience in MySQL, Postgres, Oracle databases and fluent in SQL scripts
- https://resources.workable.com/data-scientist-analysis-interview-questions">Technical expertiseregarding data models, database design development, data mining and segmentation techniques
- Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
- Strong https://resources.workable.com/analytical-skills-interview-questions">analytical skillswith the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Adept at queries, report writing and presenting findings
- BS in Mathematics, Economics, Computer Science, Information Management or Statistics
Data Science
Machine Learning (ML)- Minimum 2.5 years of experience as a Python Developer.
- Minimum 2.5 years of experience in any framework like Django/Flask/Fast API
- Minimum 2.5 years of experience in SQL/ Postgress
- Minimum 2.5 years of experience in Git/Gitlab/Bit-Bucket
- Minimum 2+ years of experience in deployment (CICD with Jenkins)
- Minimum 2.5 years of experience in any cloud like AWS/GCP/Azure
It's regarding a permanent opening with Data Semantics
Data Semantics
We are Product base company and Microsoft Gold Partner
Data Semantics is an award-winning Data Science company with a vision to empower every organization to harness the full potential of its data assets. In order to achieve this, we provide Artificial Intelligence, Big Data and Data Warehousing solutions to enterprises across the globe. Data Semantics was listed as one of the top 20 Analytics companies by Silicon India 2018 & CIO Review India 2014 as one of the Top 20 BI companies. We are headquartered in Bangalore, India with our offices in 6 global locations including USA United Kingdom, Canada, United Arab Emirates (Dubai Abu Dhabi), and Mumbai. Our mission is to enable our people to learn the art of data management and visualization to help our customers make quick and smart decisions.
Our Services include:
Business Intelligence & Visualization
App and Data Modernization
Low Code Application Development
Artificial Intelligence
Internet of Things
Data Warehouse Modernization
Robotic Process Automation
Advanced Analytics
Our Products:
Sirius – World’s most agile conversational AI platform
Serina
Conversational Analytics
Contactless Attendance Management System
Company URL: https://datasemantics.co
JD:
MSBI
SSAS
SSRS
SSIS
Datawarehousing
SQL
Must Have Skills:
ScalaWHAT YOU WILL DO:
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● Create and maintain optimal data pipeline architecture.
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● Assemble large, complex data sets that meet functional / non-functional business requirements.
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● Identify, design, and implement internal process improvements: automating manual processes,
optimizing data delivery, re-designing infrastructure for greater scalability, etc.
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● Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide
variety of data sources using Spark,Hadoop and AWS 'big data' technologies.(EC2, EMR, S3, Athena).
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● Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition,
operational efficiency and other key business performance metrics.
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● Work with stakeholders including the Executive, Product, Data and Design teams to assist with
data-related technical issues and support their data infrastructure needs.
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● Keep our data separated and secure across national boundaries through multiple data centers and AWS
regions.
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● Create data tools for analytics and data scientist team members that assist them in building and
optimizing our product into an innovative industry leader.
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● Work with data and analytics experts to strive for greater functionality in our data systems.
REQUIRED SKILLS & QUALIFICATIONS:
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● 5+ years of experience in a Data Engineer role.
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● Advanced working SQL knowledge and experience working with relational databases, query authoring
(SQL) as well as working familiarity with a variety of databases.
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● Experience building and optimizing 'big data' data pipelines, architectures and data sets.
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● Experience performing root cause analysis on internal and external data and processes to answer
specific business questions and identify opportunities for improvement.
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● Strong analytic skills related to working with unstructured datasets.
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● Build processes supporting data transformation, data structures, metadata, dependency and workload
management.
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● A successful history of manipulating, processing and extracting value from large disconnected datasets.
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● Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
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● Strong project management and organizational skills.
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● Experience supporting and working with cross-functional teams in a dynamic environment
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● Experience with big data tools: Hadoop, Spark, Pig, Vetica, etc.
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● Experience with AWS cloud services: EC2, EMR, S3, Athena
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● Experience with Linux
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● Experience with object-oriented/object function scripting languages: Python, Java, Shell, Scala, etc.
PREFERRED SKILLS & QUALIFICATIONS:
● Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
Data Science
R Programming
Python
MongoDB- Conducting advanced statistical analysis to provide actionable insights, identify trends, and measure performance
- Performing data exploration, cleaning, preparation and feature engineering; in addition to executing tasks such as building a POC, validation/ AB testing
- Collaborating with data engineers & architects to implement and deploy scalable solutions
- Communicating results to diverse audiences with effective writing and visualizations
- Identifying and executing on high impact projects, triage external requests, and ensure timely completion for the results to be useful
- Providing thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders
What you need to have:
- 2-4 year experience in machine learning algorithms, predictive analytics, demand forecasting in real-world projects
- Strong statistical background in descriptive and inferential statistics, regression, forecasting techniques.
- Strong Programming background in Python (including packages like Tensorflow), R, D3.js , Tableau, Spark, SQL, MongoDB.
- Preferred exposure to Optimization & Meta-heuristic algorithm and related applications
- Background in a highly quantitative field like Data Science, Computer Science, Statistics, Applied Mathematics,Operations Research, Industrial Engineering, or similar fields.
- Should have 2-4 years of experience in Data Science algorithm design and implementation, data analysis in different applied problems.
- DS Mandatory skills : Python, R, SQL, Deep learning, predictive analysis, applied statistics
Python
Amazon Web Services (AWS)Scala- Hands-on experience in any Cloud Platform
- Microsoft Azure Experience
- Key responsibility is to design and develop a data pipeline including the architecture, prototyping, and development of data extraction, transformation/processing, cleansing/standardizing, and loading in Data Warehouse at real-time/near the real-time frequency. Source data can be structured, semi-structured, and/or unstructured format.
- Provide technical expertise to design efficient data ingestion solutions to consolidate data from RDBMS, APIs, Messaging queues, weblogs, images, audios, documents, etc of Enterprise Applications, SAAS applications, external 3rd party sites or APIs, etc through ETL/ELT, API integrations, Change Data Capture, Robotic Process Automation, Custom Python/Java Coding, etc
- Development of complex data transformation using Talend (BigData edition), Python/Java transformation in Talend, SQL/Python/Java UDXs, AWS S3, etc to load in OLAP Data Warehouse in Structured/Semi-structured form
- Development of data model and creating transformation logic to populate models for faster data consumption with simple SQL.
- Implementing automated Audit & Quality assurance checks in Data Pipeline
- Document & maintain data lineage to enable data governance
- Coordination with BIU, IT, and other stakeholders to provide best-in-class data pipeline solutions, exposing data via APIs, loading in down streams, No-SQL Databases, etc
Requirements
- Programming experience using Python / Java, to create functions / UDX
- Extensive technical experience with SQL on RDBMS (Oracle/MySQL/Postgresql etc) including code optimization techniques
- Strong ETL/ELT skillset using Talend BigData Edition. Experience in Talend CDC & MDM functionality will be an advantage.
- Experience & expertise in implementing complex data pipelines, including semi-structured & unstructured data processing
- Expertise to design efficient data ingestion solutions to consolidate data from RDBMS, APIs, Messaging queues, weblogs, images, audios, documents, etc of Enterprise Applications, SAAS applications, external 3rd party sites or APIs, etc through ETL/ELT, API integrations, Change Data Capture, Robotic Process Automation, Custom Python/Java Coding, etc
- Good understanding & working experience in OLAP Data Warehousing solutions (Redshift, Synapse, Snowflake, Teradata, Vertica, etc) and cloud-native Data Lake (S3, ADLS, BigQuery, etc) solutions
- Familiarity with AWS tool stack for Storage & Processing. Able to recommend the right tools/solutions available to address a technical problem
- Good knowledge of database performance and tuning, troubleshooting, query optimization, and tuning
- Good analytical skills with the ability to synthesize data to design and deliver meaningful information
- Good knowledge of Design, Development & Performance tuning of 3NF/Flat/Hybrid Data Model
- Know-how on any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc) will be an advantage.
- Ability to understand business functionality, processes, and flows
- Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently
Functional knowledge
- Data Governance & Quality Assurance
- Distributed computing
- Linux
- Data structures and algorithm
- Unstructured Data Processing
Job Description:
Experience - 2 to 5 Years
- Sound understanding of Google Cloud Platform
- Should have worked on Big Query, Workflow or Composer
- Experience of migrating to GCP and integration projects on large-scale environments
- ETL technical design, development and support
- Good in SQL skills and Unix Scripting
- Programming experience with Python, Java or Spark would be desirable, but not essential
- Good Communication skills .
- Experience of SOA and services-based data solutions, would be advantageous
Python- Sr. Data Engineer:
Core Skills – Data Engineering, Big Data, Pyspark, Spark SQL and Python
Candidate with prior Palantir Cloud Foundry OR Clinical Trial Data Model background is preferred
Major accountabilities:
- Responsible for Data Engineering, Foundry Data Pipeline Creation, Foundry Analysis & Reporting, Slate Application development, re-usable code development & management and Integrating Internal or External System with Foundry for data ingestion with high quality.
- Have good understanding on Foundry Platform landscape and it’s capabilities
- Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
- Defines company data assets (data models), Pyspark, spark SQL, jobs to populate data models.
- Designs data integrations and data quality framework.
- Design & Implement integration with Internal, External Systems, F1 AWS platform using Foundry Data Connector or Magritte Agent
- Collaboration with data scientists, data analyst and technology teams to document and leverage their understanding of the Foundry integration with different data sources - Actively participate in agile work practices
- Coordinating with Quality Engineer to ensure the all quality controls, naming convention & best practices have been followed
Desired Candidate Profile :
- Strong data engineering background
- Experience with Clinical Data Model is preferred
- Experience in
- SQL Server ,Postgres, Cassandra, Hadoop, and Spark for distributed data storage and parallel computing
- Java and Groovy for our back-end applications and data integration tools
- Python for data processing and analysis
- Cloud infrastructure based on AWS EC2 and S3
- 7+ years IT experience, 2+ years’ experience in Palantir Foundry Platform, 4+ years’ experience in Big Data platform
- 5+ years of Python and Pyspark development experience
- Strong troubleshooting and problem solving skills
- BTech or master's degree in computer science or a related technical field
- Experience designing, building, and maintaining big data pipelines systems
- Hands-on experience on Palantir Foundry Platform and Foundry custom Apps development
- Able to design and implement data integration between Palantir Foundry and external Apps based on Foundry data connector framework
- Hands-on in programming languages primarily Python, R, Java, Unix shell scripts
- Hand-on experience in AWS / Azure cloud platform and stack
- Strong in API based architecture and concept, able to do quick PoC using API integration and development
- Knowledge of machine learning and AI
- Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users.
Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision
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