Senior Data Engineer

Gipfel & Schnell Consultings Pvt Ltd

Company

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Senior Data Engineer

Agency job

via Gipfel & Schnell Consultings Pvt Ltd

3 - 9 yrs

Best in industry

Bengaluru (Bangalore)

Skills

Data engineering

ADF

data factory

SQL Azure

databricks

SQL

Relational Database (RDBMS)

Databases

CI/CD

Data Engineer

Brief Posting Description:

This person will work independently or with a team of data engineers on cloud technology products, projects, and initiatives. Work with all customers, both internal and external, to make sure all data related features are implemented in each solution. Will collaborate with business partners and other technical teams across the organization as required to deliver proposed solutions.

Detailed Description:

· Works with Scrum masters, product owners, and others to identify new features for digital products.

· Works with IT leadership and business partners to design features for the cloud data platform.

· Troubleshoots production issues of all levels and severities, and tracks progress from identification through resolution.

· Maintains culture of open communication, collaboration, mutual respect and productive behaviors; participates in the hiring, training, and retention of top tier talent and mentors team members to new and fulfilling career experiences.

· Identifies risks, barriers, efficiencies and opportunities when thinking through development approach; presents possible platform-wide architectural solutions based on facts, data, and best practices.

· Explores all technical options when considering solution, including homegrown coding, third-party sub-systems, enterprise platforms, and existing technology components.

· Actively participates in collaborative effort through all phases of software development life cycle (SDLC), including requirements analysis, technical design, coding, testing, release, and customer technical support.

· Develops technical documentation, such as system context diagrams, design documents, release procedures, and other pertinent artifacts.

· Understands lifecycle of various technology sub-systems that comprise the enterprise data platform (i.e., version, release, roadmap), including current capabilities, compatibilities, limitations, and dependencies; understands and advises of optimal upgrade paths.

· Establishes relationships with key IT, QA, and other corporate partners, and regularly communicates and collaborates accordingly while working on cross-functional projects or production issues.

Job Requirements:

EXPERIENCE:

2 years required; 3 - 5 years preferred experience in a data engineering role.

2 years required, 3 - 5 years preferred experience in Azure data services (Data Factory, Databricks, ADLS, Synapse, SQL DB, etc.)

EDUCATION:

Bachelor’s degree information technology, computer science, or data related field preferred

SKILLS/REQUIREMENTS:

Expertise working with databases and SQL.

Strong working knowledge of Azure Data Factory and Databricks

Strong working knowledge of code management and continuous integrations systems (Azure DevOps or Github preferred)

Strong working knowledge of cloud relational databases (Azure Synapse and Azure SQL preferred)

Familiarity with Agile delivery methodologies

Familiarity with NoSQL databases (such as CosmosDB) preferred.

Any experience with Python, DAX, Azure Logic Apps, Azure Functions, IoT technologies, PowerBI, Power Apps, SSIS, Informatica, Teradata, Oracle DB, and Snowflake preferred but not required.

Ability to multi-task and reprioritize in a dynamic environment.

Outstanding written and verbal communication skills

Working Environment:

General Office – Work is generally performed within an office environment, with standard office equipment. Lighting and temperature are adequate and there are no hazardous or unpleasant conditions caused by noise, dust, etc.

physical requirements:

Work is generally sedentary in nature but may require standing and walking for up to 10% of the time.

Mental requirements:

Employee required to organize and coordinate schedules.

Employee required to analyze and interpret complex data.

Employee required to problem-solve.

Employee required to communicate with the public.

Data Engineer

Brief Posting Description:

Detailed Description:

· Works with Scrum masters, product owners, and others to identify new features for digital products.

· Works with IT leadership and business partners to design features for the cloud data platform.

· Troubleshoots production issues of all levels and severities, and tracks progress from identification through resolution.

· Explores all technical options when considering solution, including homegrown coding, third-party sub-systems, enterprise platforms, and existing technology components.

· Develops technical documentation, such as system context diagrams, design documents, release procedures, and other pertinent artifacts.

· Establishes relationships with key IT, QA, and other corporate partners, and regularly communicates and collaborates accordingly while working on cross-functional projects or production issues.

Job Requirements:

EXPERIENCE:

2 years required; 3 - 5 years preferred experience in a data engineering role.

2 years required, 3 - 5 years preferred experience in Azure data services (Data Factory, Databricks, ADLS, Synapse, SQL DB, etc.)

EDUCATION:

Bachelor’s degree information technology, computer science, or data related field preferred

SKILLS/REQUIREMENTS:

Expertise working with databases and SQL.

Strong working knowledge of Azure Data Factory and Databricks

Strong working knowledge of code management and continuous integrations systems (Azure DevOps or Github preferred)

Strong working knowledge of cloud relational databases (Azure Synapse and Azure SQL preferred)

Familiarity with Agile delivery methodologies

Familiarity with NoSQL databases (such as CosmosDB) preferred.

Any experience with Python, DAX, Azure Logic Apps, Azure Functions, IoT technologies, PowerBI, Power Apps, SSIS, Informatica, Teradata, Oracle DB, and Snowflake preferred but not required.

Ability to multi-task and reprioritize in a dynamic environment.

Outstanding written and verbal communication skills

Working Environment:

physical requirements:

Work is generally sedentary in nature but may require standing and walking for up to 10% of the time.

Mental requirements:

Employee required to organize and coordinate schedules.

Employee required to analyze and interpret complex data.

Employee required to problem-solve.

Employee required to communicate with the public.

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