Hiring for Multiple positions -Candidate should be available to take interview this Saturday i.e 19th Nov 2021
Big Data engineer
Data Modeler
Big Data Architect
Data Scientist
Jr. Data Scientist
Big Data Architect-
Technical leadership in Information and Data Architecture, working with Enterprise Data Architects leveraging the TOGAF architecture methodology with oversight of Domain Modeling, Logical Data Modeling and Physical Data Model implementation.
Apply modern data management toolsets and coding methods to design, build, implement, and optimize data solutions of all types – including data warehouses, data lakes, ODS, streaming data, analytic and BI/visualizations, etc.
Translate business issues and needs into Data and System requirements and Architect the management of data assets and their flow through the enterprise
Architect and Design Data Services (DaaS) for data consumption and manipulation throughout the Data Ecosystem applying the "contract first" design principle and including use of API, Microservices, Microbatch, ELT Pipeline and other methods.
Transform legacy data structures and processes to modern, capable, and secure solutions in a hybrid cloud setup
Apply Data Engineering & Design best practices to architect solutions, using a deep understanding of various data formats and database design approaches
Architect Data Storage solutions for OLTP (CRM, etc.) Systems, Analytics Platforms, Data Lake, Data Warehouse with Relational Database and Object Storage methods tailored for best fit for the needs.
Architect best-practice data ingestion framework for batch and real-time data flows, develop tooling for increasing scale, accuracy and automation in data pipeline, to integrate with decisioning, AI/NLP and consuming systems
Architect Data Catalogue and Metadata Management
Architect and Model for Master Data Management.
Architect for various Analytics Method including Descriptive, Diagnostic, Predictive, Prescriptive and Capabilities including Real Time Analytics, Advanced Analytics, Machine Learning (ML/AI/NLP)
Work with Enterprise Architects and Information Security Architects to design highly secure data platform ecosystem by designing controls and protection strategies
Enable application performance and modernization by creating appropriate data capabilities to match.
Determine best-in-breed Tools and Technologies, leveraging CNCF-backed Open Source, Managed Solutions and Engineered solutions where applicable.
Requirements
should be more having experience working with Architecture of transactional systems in addition to modern data analytics platforms – NoSQL, Event Sourcing, Domain Driven Design, Data Services, Spark and Hadoop-like open source platforms, etc and not traditional Data warehouse with SQL and Oracle.
5+ years of experience in data analysis, engineering, architecture and operations roles, including experience with transformational efforts
Strong Database skills, with RDBMS (E.g., Oracle, SQL) as well as modern relational and unstructured data sources (like NoSQL), including cloud services (AWS/GCP/Azure). Hands on experience using tools is strongly preferred
Experience with Tools (or similar) such as Hadoop Stack, Airflow, Kafka, NiFi, PostgreSQL, Oracle, SQL Server, ElasticSearch (ELK), JSON, Parquet, Avro and other Data Storage formats, Tableau, Superset and other Visualization Tools, Apache Atlas, and other Data-centric Apache Packages
Extensive Knowledge of Design Patterns for Software and Data Engineering.
Experience Coding with Java, Javascript (Nodejs), Python, GO, Rust and similar.
Experience in on-prem and hybrid cloud infrastructure, including service and cost optimization
Experience with production and analytics data, batch and real time / streaming, etc.
Experience in regulated industries preferred (such as financial services, insurance, healthcare, etc.)
Familiarity with optimization tools and techniques, including Bayesian modelling and variety of machine learning techniques
Ability to manage large programs and projects will be essential
| Big data Engineer-
should be more having experience working with Architecture of transactional systems in addition to modern data analytics platforms – NoSQL, Event Sourcing, Domain Driven Design, Data Services, Spark and Hadoop-like open source platforms, etc and not traditional Data warehouse with SQL and Oracle.
This role is an experienced Development Data Engineer that will assist in designing developing and deploying data driven solutions as part of a strategic data transformation effort The candidat e will join a team of Data Architects and Engineers who will be responsible for optimizing and transforming our data architecture infrastructure operations and related functions This team will work with developers architects business data an alysts and data scientists on data initiatives and will ensure optimal data solutions Summary Essential Job Functions Leverage modern data management toolsets and coding methods to design build implement and optimize data solutions of all types including support for OLTP and API Microservices data warehouses data lakes ODS streaming data analytic and BI visualizations etc Transform legacy data structures and processes to modern capable and secure solutions in a hybrid cloud setup Position Requirements 3 years of experience in data engineering development and operations roles including experience with transformational efforts Strong Database skills with RDBMS E g Oracle SQL as well as modern relational and unstruct ured data sources like NoSQL including cloud services AWS GCP Azure Hands on experience using tools is strongly preferred Experience with Tools or similar such as Hadoop Stack Airflow Kafka NiFi PostgreSQL Oracle SQL Server ElasticSe arch ELK JSON Parquet Avro and other Data Storage formats Tableau Superset and other Visualization Tools Apache Atlas and other Data centric Apache Packages Knowledge of Design Patterns for Software and Data Engineering Experience Codingwi th Java Javascript Nodejs Python GO Rust and similar Experience in on prem and hybrid cloud infrastructure including service and cost optimization Experience with production and analytics data batch and real time streaming etc .
Job Requirements: Hadoop, Querying NoSQL Database, Data Insight
| Big Data Engineer
should be more having experience working with Architecture of transactional systems in addition to modern data analytics platforms – NoSQL, Event Sourcing, Domain Driven Design, Data Services, Spark and Hadoop-like open source platforms, etc and not traditional Data warehouse with SQL and Oracle.
This role is an experienced Development Data Engineer that will assist in designing developing and deploying data driven solutions as part of a strategic data transformation effort The candidat e will join a team of Data Architects and Engineers who will be responsible for optimizing and transforming our data architecture infrastructure operations and related functions This team will work with developers architects business data an alysts and data scientists on data initiatives and will ensure optimal data solutions Summary Essential Job Functions Leverage modern data management toolsets and coding methods to design build implement and optimize data solutions of all types including support for OLTP and API Microservices data warehouses data lakes ODS streaming data analytic and BI visualizations etc Transform legacy data structures and processes to modern capable and secure solutions in a hybrid cloud setup Position Requirements 3 years of experience in data engineering development and operations roles including experience with transformational efforts Strong Database skills with RDBMS E g Oracle SQL as well as modern relational and unstruct ured data sources like NoSQL including cloud services AWS GCP Azure Hands on experience using tools is strongly preferred Experience with Tools or similar such as Hadoop Stack Airflow Kafka NiFi PostgreSQL Oracle SQL Server ElasticSe arch ELK JSON Parquet Avro and other Data Storage formats Tableau Superset and other Visualization Tools Apache Atlas and other Data centric Apache Packages Knowledge of Design Patterns for Software and Data Engineering Experience Codingwi th Java Javascript Nodejs Python GO Rust and similar Experience in on prem and hybrid cloud infrastructure including service and cost optimization Experience with production and analytics data batch and real time streaming etc .
| Big data Engineer –
should be more having experience working with Architecture of transactional systems in addition to modern data analytics platforms – NoSQL, Event Sourcing, Domain Driven Design, Data Services, Spark and Hadoop-like open source platforms, etc and not traditional Data warehouse with SQL and Oracle.
This role is an experienced Development Data Engineer that will assist in designing developing and deploying data driven solutions as part of a strategic data transformation effort The candidat e will join a team of Data Architects and Engineers who will be responsible for optimizing and transforming our data architecture infrastructure operations and related functions This team will work with developers architects business data an alysts and data scientists on data initiatives and will ensure optimal data solutions Summary Essential Job Functions Leverage modern data management toolsets and coding methods to design build implement and optimize data solutions of all types including support for OLTP and API Microservices data warehouses data lakes ODS streaming data analytic and BI visualizations etc Transform legacy data structures and processes to modern capable and secure solutions in a hybrid cloud setup Position Requirements 3 years of experience in data engineering development and operations roles including experience with transformational efforts Strong Database skills with RDBMS E g Oracle SQL as well as modern relational and unstruct ured data sources like NoSQL including cloud services AWS GCP Azure Hands on experience using tools is strongly preferred Experience with Tools or similar such as Hadoop Stack Airflow Kafka NiFi PostgreSQL Oracle SQL Server ElasticSe arch ELK JSON Parquet Avro and other Data Storage formats Tableau Superset and other Visualization Tools Apache Atlas and other Data centric Apache Packages Knowledge of Design Patterns for Software and Data Engineering Experience Codingwi th Java Javascript Nodejs Python GO Rust and similar Experience in on prem and hybrid cloud infrastructure including service and cost optimization Experience with production and analytics data batch and real time streaming etc .
Data Modeler
This role is an experienced Data Modeler that will assist in designing developing and deploying data driven solutions as part of a strategic data transformation effort The candidate will join a team of Data Ar chitects and Engineers who will be responsible for optimizing and transforming our data architecture infrastructure operations and related functions This team will work with developers architects business data analysts and data scientists on data initiatives and will ensure optimal data solutions Summary Essential Job Functions Leverage modern data management toolsets and coding methods to design build implement and optimize data solutions of all types including support for OLTP and API Microservices data warehouses data lakes ODS streaming data analytic and BI visualizations etc Transform legacy data structures and processes to modern capable and secure solutions in a hybrid cloud setup Position Requirements 3 years of experience in data engineering development and operations roles including experience with transformational efforts Strong Database skills with RDBMS E g Oracle SQL as well as modern relational and unstructured data sources like NoSQL including cloud services AWS GCP Azure Hands on experience using tools is strongly preferred Experience with Tools or similar such as Hadoop Stack Airflow Kafka NiFi PostgreSQL Oracle SQL Server ElasticSearch ELK JSON Parquet Av ro and other Data Storage formats Tableau Superset and other Visualization Tools Apache Atlas and other Data centric Apache Packages Knowledge of Design Patterns for Software and Data Engineering Experience Coding with Java Javascript Nodejs Python GO Rust and similar Experience in on prem and hybrid cloud infrastructure including service and cost optimization Experience with production and analytics data batch and real time streaming etc.
Job Requirements: Hadoop, PostgreSQL, Data Analysis, ETL Design
Jr. Data Scientist
A Junior Data Scientist is responsible for the execution of Data Science solutions in chosen domains in a manner that creates value for our customers, people and business community through innovative solutions incorporating the latest dev elopments in the Data Science world. Primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems. The Data Scientist also needs to lead the team, come up with innovative solutions to the Business problem statements. JOB RESPONSIBILITIES # Responsible for selecting features, building and optimizing classifiers ML techniques # Data mining using state of the art methods and running algorithms on cloud platforms # Processing, cle ansing, and verifying the integrity of data used for analysis # Conduct ad-hoc analysis, present results in a clear manner and deploy models using Azure data bricks etc. # Excellent understanding of ML algorithms such as KNN, Regression, Classificati on algorithms etc # Experience with common data science toolkits such as R, Numpy, Pandas, Sklearn, Matplotlib, tensorflow SPECIALIZATION As we increasingly harness the power of data, more and more decisions are becoming data driven. We provide analy tics solutions that leverage human and artificial intelligence to convert data into actionable insights. We provide business value of insights, improve time to insight and optimize cost per insight with a design thinking approach, data engineering an d automation. We look for specialists who can help humanize these automated insights through effective content strategies that help deliver targeted results..
Job Requirements: Python, R Language, Databricks, Data Architecture, Data Orchestration, Machine Learning Implementation, Data Insight, Deployment Model, Machine Learning Application
Data Scientist
A Data Scientist is responsible for the execution of Data Science solutions in chosen domains in a manner that creates value for our customers, people and business community through innovative solutions incorporating the latest developments in the Data Science world. Primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems. The Data Scientist also needs to lead the team, come up with innov ative solutions to the Business problem statements. JOB RESPONSIBILITIES # Responsible for selecting features, building and optimizing classifiers ML techniques # Data mining using state of the art methods and running algorithms on cloud platforms # Processing, cleansing, and verifying the integrity of data used for analysis # Conduct ad-hoc analysis, present results in a clear manner and deploy models using Azure data bricks etc. # Excellent understanding of ML algorithms such as KNN, Regressio n, Classification algorithms etc # Experience with common data science toolkits such as R, Numpy, Pandas, Sklearn, Matplotlib, tensorflow SPECIALIZATION As we increasingly harness the power of data, more and more decisions are becoming data driven. W e provide analytics solutions that leverage human and artificial intelligence to convert data into actionable insights. We provide business value of insights, improve time to insight and optimize cost per insight with a design thinking approach, data engineering and automation. We look for specialists who can help humanize these automated insights through effective content strategies that help deliver targeted results..
Job Requirements: Python, R Language, Data Analysis, Data Architecture, Data Solutioning, Machine Learning Modeling, Deployment Model, Data Insight, Machine Learning Application
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