Tech Manager TECHM-JOB-25647
Apply NowCompany: Keylent, Inc.
Location: Franklin, TN 37064
Description:
Tech Manager TECHM-JOB-25647
Role: Data Architect
Skill: AWS Analytics
Location: [Franklin, TN]
Full Time
Technical Skillset (Mandatory)
Big Data Tools: Hadoop, Cloudera (CDP), PySpark, Kafka, etc.
Data Pipeline & Integration: Airflow, Kafka, Informatica Cloud (IICS), PowerCenter
Data Governance: EDC, AXON
Stream-Processing Systems: Storm, Spark-Streaming, AWS Kinesis
Databases: Relational, Amazon DynamoDB, Mongo DB, Snowflake, Postgres.
AWS Cloud Services: EC2, S3, EMR, RDS, Lambda, DMS, Kinesis, Glue
Object-Oriented Languages: Python, R
Technical Skillset (Optional)
Visualization Tool: SAP Business Objects, Tableau
Role and Responsibilities
Responsible for the architecture and design of enterprise Data Warehouse processes in Cloud.
Accountable for all aspects of the data warehouse processes including data modeling, ETL, data validation, data quality assurance, and implementation.
Based on customer technology landscape arrive at solutions which is more Agile, scalable, and Cost effective.
Provide Proactive proposals to customer on Cloud Data Strategy.
Understand Customer Problem Statements and leverage Ai/Client Capabilities for Solution.
Build reusable artefacts and accelerators in Cloud
Designs and develops logical and physical data flow models for Extraction, Transformation and Loading processes to acquire and load data from internal and external sources.
Arrive at Solutions implements programs in various languages like SQL stored procedures, Python etc.
Evaluates data process optimization opportunities and develops recommendations and improvements.
Translates data access, transformation, and movement requirements into functional requirements and mapping designs.
Creates and enhances data solutions enabling seamless delivery of data and is responsible for collecting, parsing, managing and analyzing large sets of data.
Collaborate with technical and business users to develop and maintain enterprise wide solutions and standards to provide data required for metrics and analysis
Partners with members of the Business Intelligence team to provide required access/structure to data.
Build relationships with business intelligence partners to understand data needs in order to execute with excellence on documented user requirements
Project Specific requirement (if any):
Data-oriented personality, good communication skills, and an excellent eye for details.
Master's in Data Programs
Certifications in AWS Cloud, Machine Learning Programs
Relevant Experience required
12 + Years' experience in Data Platforms and 5+ Years in Cloud preferably AWS.
Proficient understanding of distributed computing principles.
Proficiency with ETL tools like Informatica PowerCenter, Informatica Cloud and Cloud Data Platforms like Snowflake.
Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
Strong understanding of Data Structures and Algorithms.
Experience with integration of data from multiple data sources
Experience with various messaging systems, such as Kafka
Experience in scripting languages such as Python.
Proficient in Solutioning for Real time Analytics
Role: Data Architect
Skill: AWS Analytics
Location: [Franklin, TN]
Full Time
Technical Skillset (Mandatory)
Big Data Tools: Hadoop, Cloudera (CDP), PySpark, Kafka, etc.
Data Pipeline & Integration: Airflow, Kafka, Informatica Cloud (IICS), PowerCenter
Data Governance: EDC, AXON
Stream-Processing Systems: Storm, Spark-Streaming, AWS Kinesis
Databases: Relational, Amazon DynamoDB, Mongo DB, Snowflake, Postgres.
AWS Cloud Services: EC2, S3, EMR, RDS, Lambda, DMS, Kinesis, Glue
Object-Oriented Languages: Python, R
Technical Skillset (Optional)
Visualization Tool: SAP Business Objects, Tableau
Role and Responsibilities
Responsible for the architecture and design of enterprise Data Warehouse processes in Cloud.
Accountable for all aspects of the data warehouse processes including data modeling, ETL, data validation, data quality assurance, and implementation.
Based on customer technology landscape arrive at solutions which is more Agile, scalable, and Cost effective.
Provide Proactive proposals to customer on Cloud Data Strategy.
Understand Customer Problem Statements and leverage Ai/Client Capabilities for Solution.
Build reusable artefacts and accelerators in Cloud
Designs and develops logical and physical data flow models for Extraction, Transformation and Loading processes to acquire and load data from internal and external sources.
Arrive at Solutions implements programs in various languages like SQL stored procedures, Python etc.
Evaluates data process optimization opportunities and develops recommendations and improvements.
Translates data access, transformation, and movement requirements into functional requirements and mapping designs.
Creates and enhances data solutions enabling seamless delivery of data and is responsible for collecting, parsing, managing and analyzing large sets of data.
Collaborate with technical and business users to develop and maintain enterprise wide solutions and standards to provide data required for metrics and analysis
Partners with members of the Business Intelligence team to provide required access/structure to data.
Build relationships with business intelligence partners to understand data needs in order to execute with excellence on documented user requirements
Project Specific requirement (if any):
Data-oriented personality, good communication skills, and an excellent eye for details.
Master's in Data Programs
Certifications in AWS Cloud, Machine Learning Programs
Relevant Experience required
12 + Years' experience in Data Platforms and 5+ Years in Cloud preferably AWS.
Proficient understanding of distributed computing principles.
Proficiency with ETL tools like Informatica PowerCenter, Informatica Cloud and Cloud Data Platforms like Snowflake.
Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
Strong understanding of Data Structures and Algorithms.
Experience with integration of data from multiple data sources
Experience with various messaging systems, such as Kafka
Experience in scripting languages such as Python.
Proficient in Solutioning for Real time Analytics