Key responsibilities:

<ul>
<li>Contributes to the creation of data models in a structured data format to enable analysis thereof.</li>
</ul>

<ul>
<li>Proactively supports the design and development of scalable extract, transform and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources.</li>
</ul>

<ul>
<li>Participates in the transformation of object and data models into appropriate database schemas within design constraints.</li>
</ul>

<ul>
<li>Interprets installation standards to meet project needs and produce database components as required.</li>
</ul>

<ul>
<li>Receives instructions from various stakeholders to create test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations.</li>
</ul>

<ul>
<li>Proactively supports the running of data migrations across different databases and applications, e.g. MS Dynamics, Oracle, SAP and other ERP systems.</li>
</ul>

<ul>
<li>Support the definition and implementation of data table structures and data models based on requirements.</li>
</ul>

<ul>
<li>Contributes to analysis, and development of ETL and migration documentation.</li>
</ul>

<ul>
<li>Receives instructions from various stakeholders to evaluate potential data requirements.</li>
</ul>

<ul>
<li>Supports the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives.</li>
</ul>

<ul>
<li>Contributes to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models. </li>
</ul>
To thrive in this role, you need to have:

<ul>
<li>Knowledge of the definition and management of scoping requirements, definition and prioritization activities.</li>
</ul>

<ul>
<li>Understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models.</li>
</ul>

<ul>
<li>Knowledge of Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP.</li>
</ul>

<ul>
<li>Understanding of data architecture landscape between physical and logical data models.</li>
</ul>

<ul>
<li>Analytical mindset with good business acumen skills.</li>
</ul>

<ul>
<li>Problem-solving aptitude with the ability to communicate effectively, both written and verbal.</li>
</ul>

<ul>
<li>Ability to build effective relationships at all levels within the organization.</li>
</ul>

<ul>
<li>Seasoned expert in programing languages (Perl, bash, Shell Scripting, Python, etc.). </li>
</ul>
Academic qualifications and certifications:

<ul>
<li>Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field.</li>
</ul>

<ul>
<li>Relevant certifications preferred such as SAP, Microsoft Azure etc.</li>
</ul>

<ul>
<li>Certified Data Engineer, Certified Professional certification preferred. </li>
</ul>
Required experience:

<ul>
<li>Moderate level experience in data engineering, data mining within a fast-paced environment.</li>
</ul>

<ul>
<li>Familiarity with building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale.</li>
</ul>

<ul>
<li>Moderate level experience with architecture and design of secure, highly available and scalable systems.</li>
</ul>

<ul>
<li>Familiarity with automation, scripting and proven examples of successful implementation.</li>
</ul>

<ul>
<li>Familiarity with scripts using scripting language (Perl, bash, Shell Scripting, Python, etc.).</li>
</ul>

<ul>
<li>Moderate level experience with big data tools like Hadoop, Cassandra, Storm etc.</li>
</ul>

<ul>
<li>Moderate level experience in any applicable language, preferably .NET.</li>
</ul>

<ul>
<li>Familiarity with working with SAP, SQL, MySQL databases and Microsoft SQL.</li>
</ul>

<ul>
<li>Moderate level experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots. </li>
</ul>

Senior Data Engineer

India

Key responsibilities: Contributes to the creation of data models in a structured data format to enable analysis thereof. Proactively supports the design and development of scalable extract, transform and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources. Participates in the transformation of object and data models into appropriate database schemas within design constraints. Interprets installation standards to meet project needs and produce database components as required. Receives instructions from various stakeholders to create test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations. Proactively supports the running of data migrations across different databases and applications, e.g. MS Dynamics, Oracle, SAP and other ERP systems. Support the definition and implementation of data table structures and data models based on requirements. Contributes to analysis, and development of ETL and migration documentation. Receives instructions from various stakeholders to evaluate potential data requirements. Supports the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives. Contributes to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models. To thrive in this role, you need to have: Knowledge of the definition and management of scoping requirements, definition and prioritization activities. Understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models. Knowledge of Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP. Understanding of data architecture landscape between physical and logical data models. Analytical mindset with good business acumen skills. Problem-solving aptitude with the ability to communicate effectively, both written and verbal. Ability to build effective relationships at all levels within the organization. Seasoned expert in programing languages (Perl, bash, Shell Scripting, Python, etc.). Academic qualifications and certifications: Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field. Relevant certifications preferred such as SAP, Microsoft Azure etc. Certified Data Engineer, Certified Professional certification preferred. Required experience: Moderate level experience in data engineering, data mining within a fast-paced environment. Familiarity with building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale. Moderate level experience with architecture and design of secure, highly available and scalable systems. Familiarity with automation, scripting and proven examples of successful implementation. Familiarity with scripts using scripting language (Perl, bash, Shell Scripting, Python, etc.). Moderate level experience with big data tools like Hadoop, Cassandra, Storm etc. Moderate level experience in any applicable language, preferably .NET. Familiarity with working with SAP, SQL, MySQL databases and Microsoft SQL. Moderate level experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots.

Senior Data Engineer · Bengaluru

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Job Description for Senior Data Engineer

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