Senior Data Engineer
Job Description :
Required:
BIG Data and Scala Candidate should have 5 6 years of experience.
Problem Formulation:
Identifies possible options to address the business problems within one's discipline through analytics, big data analytics and automation.
Applied Business Acumen:
Supports the development of business cases and recommendations.
Owns delivery of project activity and tasks assigned by others.
Supports process updates and changes to solves business issues.
Data Governance:
Supports the documentation of data governance processes.
Supports the daimplementation of data governance practices.
Data Strategy:
Understands, articulates and applies principles of the defined strategy to routine business problems that involve a single function.
Data Transformation and Integration:
Extracts data from identified databases.
Creates data pipelines and transform data to a structure that is relevant to the problem by selecting appropriate techniques.
Develops knowledge of current analytics trends.
Data Source Identification:
Supports the understanding of the priority order of requirements and service level agreements.
Helps identify the most suitable source for data that is fit for purpose.
Performs initial data quality checks on extracted data.
Data Modeling:
Analyzes complex data elements, systems, data flows, dependencies and relationships to contribute to conceptual, physical, and logical data models.
Develops the Logical data Model and Physical Data Models including data warehouse and data mart designs.
Defines relational tables, primary, foreign keys and stored procedures to create a data model structure.
Evaluates existing data models and physical databases for variances and discrepancies.
Develops efficient data flows.
Analyzes data-related system integration challenges and proposes appropriate solutions.
Code Development and Testing:
Writes code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical and data requirements.
Creates test cases to review and validate the proposed solution design.
Creates proofs of concept.
Tests the code using the appropriate testing approach.
Contributes code documentation, maintains playbooks, and provides timely progress updates.
Demonstrates up-to-date expertise, applies this to the development and execution.
Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders.
Adapt to competing demands, organizational changes andbig new responsibilities.
Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans.
You have consistently high standards, your passion for quality is inherent in everything.
Well versed with Hadoop, Hive, Spark using Scala.
You evangelize an extremely high standard of code quality, system reliability, and performance You have a proven track record coding with at least one programming language (e.
g.
, Java, Python) You re experienced in computing platforms (e.
g.
, Google Cloud Platform, Azure) You re skilled in data modeling & data migration protocols Experience with ThoughtSpot, Druid, Big Query and ClickHouse is added Experience with the integration tools like Automic, Airflow Senior Data Engineer Recommended Skills Airflow Automation Big Data Commercial Awareness Customer Relationship Management Data Analysis Apply to this job.
Think you're the perfect candidate? Apply on company site $('.
external-apply-email-saved').
on('click', function (event) window.
ExternalApply = window.
open('/interstitial?jobdid=j3r6bq6b91m3wspl84h', 'ExternalApply-j3r6bq6b91m3wspl84h'); ); Estimated Salary: $20 to $28 per hour based on qualifications.
Required:
BIG Data and Scala Candidate should have 5 6 years of experience.
Problem Formulation:
Identifies possible options to address the business problems within one's discipline through analytics, big data analytics and automation.
Applied Business Acumen:
Supports the development of business cases and recommendations.
Owns delivery of project activity and tasks assigned by others.
Supports process updates and changes to solves business issues.
Data Governance:
Supports the documentation of data governance processes.
Supports the daimplementation of data governance practices.
Data Strategy:
Understands, articulates and applies principles of the defined strategy to routine business problems that involve a single function.
Data Transformation and Integration:
Extracts data from identified databases.
Creates data pipelines and transform data to a structure that is relevant to the problem by selecting appropriate techniques.
Develops knowledge of current analytics trends.
Data Source Identification:
Supports the understanding of the priority order of requirements and service level agreements.
Helps identify the most suitable source for data that is fit for purpose.
Performs initial data quality checks on extracted data.
Data Modeling:
Analyzes complex data elements, systems, data flows, dependencies and relationships to contribute to conceptual, physical, and logical data models.
Develops the Logical data Model and Physical Data Models including data warehouse and data mart designs.
Defines relational tables, primary, foreign keys and stored procedures to create a data model structure.
Evaluates existing data models and physical databases for variances and discrepancies.
Develops efficient data flows.
Analyzes data-related system integration challenges and proposes appropriate solutions.
Code Development and Testing:
Writes code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical and data requirements.
Creates test cases to review and validate the proposed solution design.
Creates proofs of concept.
Tests the code using the appropriate testing approach.
Contributes code documentation, maintains playbooks, and provides timely progress updates.
Demonstrates up-to-date expertise, applies this to the development and execution.
Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders.
Adapt to competing demands, organizational changes andbig new responsibilities.
Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans.
You have consistently high standards, your passion for quality is inherent in everything.
Well versed with Hadoop, Hive, Spark using Scala.
You evangelize an extremely high standard of code quality, system reliability, and performance You have a proven track record coding with at least one programming language (e.
g.
, Java, Python) You re experienced in computing platforms (e.
g.
, Google Cloud Platform, Azure) You re skilled in data modeling & data migration protocols Experience with ThoughtSpot, Druid, Big Query and ClickHouse is added Experience with the integration tools like Automic, Airflow Senior Data Engineer Recommended Skills Airflow Automation Big Data Commercial Awareness Customer Relationship Management Data Analysis Apply to this job.
Think you're the perfect candidate? Apply on company site $('.
external-apply-email-saved').
on('click', function (event) window.
ExternalApply = window.
open('/interstitial?jobdid=j3r6bq6b91m3wspl84h', 'ExternalApply-j3r6bq6b91m3wspl84h'); ); Estimated Salary: $20 to $28 per hour based on qualifications.
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