Key Responsibilities:

<ul>
<li style="text-align:start;">Very good communication skills working with client and extended teams</li>
</ul>

<ul>
<li style="text-align:start;">Should be able Architect, suggest and work with various stakeholders to build the right Data Stack on AWS</li>
</ul>

<ul>
<li style="text-align:start;">Design, Build and Operate the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, cloud migration tools, and ‘big data’ technologies.</li>
</ul>

<ul>
<li style="text-align:start;">Optimize various RDBMS engines in the cloud and solve customers' security, performance, and operation problems.</li>
</ul>

<ul>
<li style="text-align:start;">Design, Build, and Operate large, complex data lakes that meet functional / non-functional business requirements.</li>
</ul>

<ul>
<li style="text-align:start;">Optimize various data types of ingestion, storage, processing, and retrieval from near real-time events, and IoT, to unstructured data as images, audio, video, and documents, and in between.</li>
</ul>

<ul>
<li style="text-align:start;">Work with customers' and internal stakeholders including the Executive, Product, Data, Software Development, and Design teams to assist with data-related technical issues and support their data infrastructure and business needs.</li>
</ul>

<ul>
<li style="text-align:start;">Understand and Develop AI/ML models using AWS AI/ML services (e.g., Sage Maker, Rekognition, Comprehend) and collaborate with data scientists and engineers to implement machine learning solutions</li>
</ul>
 
Qualifications:

<ul>
<li style="text-align:start;">6+ years of experience in a Data Engineer role in a cloud-native eco-system.</li>
</ul>

<ul>
<li style="text-align:start;">Bachelor (Graduate preferred) degree in Computer Science, Mathematics, Informatics, Information Systems, or another quantitative field.</li>
</ul>

<ul>
<li style="text-align:start;">Expertise working experience in AWS Glue ETL, Redshift, Step Function, Athena</li>
</ul>

<ul>
<li style="text-align:start;">Experience in implementing data pipelines for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Spark, Spark Experience in Lake Formation Orchestration, Maintain and enhance models for SDLC using CI/CD pipelines in AWS.</li>
</ul>

<ul>
<li style="text-align:start;">Experience in Relational and NoSQL databases, such as MySQL or Postgres and DynamoDB.</li>
</ul>

<ul>
<li style="text-align:start;">Functional and scripting languages: Python, Advanced SQL.</li>
</ul>

<ul>
<li style="text-align:start;">Experience building and optimizing ‘big data’ pipelines, architectures, and data sets. </li>
</ul>

Lead Data Engineer

Key Responsibilities: Very good communication skills working with client and extended teams Should be able Architect, suggest and work with various stakeholders to build the right Data Stack on AWS Design, Build and Operate the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, cloud migration tools, and ‘big data’ technologies. Optimize various RDBMS engines in the cloud and solve customers' security, performance, and operation problems. Design, Build, and Operate large, complex data lakes that meet functional / non-functional business requirements. Optimize various data types of ingestion, storage, processing, and retrieval from near real-time events, and IoT, to unstructured data as images, audio, video, and documents, and in between. Work with customers' and internal stakeholders including the Executive, Product, Data, Software Development, and Design teams to assist with data-related technical issues and support their data infrastructure and business needs. Understand and Develop AI/ML models using AWS AI/ML services (e.g., Sage Maker, Rekognition, Comprehend) and collaborate with data scientists and engineers to implement machine learning solutions Qualifications: 6+ years of experience in a Data Engineer role in a cloud-native eco-system. Bachelor (Graduate preferred) degree in Computer Science, Mathematics, Informatics, Information Systems, or another quantitative field. Expertise working experience in AWS Glue ETL, Redshift, Step Function, Athena Experience in implementing data pipelines for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Spark, Spark Experience in Lake Formation Orchestration, Maintain and enhance models for SDLC using CI/CD pipelines in AWS. Experience in Relational and NoSQL databases, such as MySQL or Postgres and DynamoDB. Functional and scripting languages: Python, Advanced SQL. Experience building and optimizing ‘big data’ pipelines, architectures, and data sets.

Lead Data Engineer in New Delhi (UID-12735)

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Job Description for Lead Data Engineer

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