What will I be doing?

<ul>
<li>Design, architect, develop and maintain components of Zenoti</li>
</ul>

<ul>
<li>Collaborate with a team of product managers, developers, and quality assurance engineers to define, design and deploy new features and functionality</li>
</ul>

<ul>
<li>Build software that ensures the best possible usability, performance, quality and responsiveness of features</li>
</ul>

<ul>
<li>Work in a team following agile development practices (SCRUM)</li>
</ul>

<ul>
<li>Learn to scale your features to handle 2x to 4x growth every year and manage code that has to deal with millions of records and terabytes of data</li>
</ul>

<ul>
<li>Release new features into production every month and get real feedback from thousands of customers to refine your designs</li>
</ul>

<ul>
<li>Be proud of what you work on, and obsess about the quality of your work. Join our team to do the best work of your career.</li>
</ul>

What skills do I need?

<ul>
<li>6+ years' experience developing ETL solutions and data pipelines with expertise in processing trillions of records efficiently</li>
</ul>

<ul>
<li>6+ years' experience with SQL Server, T-SQL, stored procedures, and deep understanding of SQL performance tuning for large-scale data processing</li>
</ul>

<ul>
<li>Strong understanding of ETL concepts, data modeling, and data warehousing principles with hands-on experience building data pipelines using Python</li>
</ul>

<ul>
<li>Extensive experience with Big Data platforms including Azure Fabric, Azure Databricks, Azure Data Factory (ADF), Amazon Redshift, Apache Spark, and Delta Lake</li>
</ul>

<ul>
<li>Expert-level SQL skills for complex data transformations, aggregations, and query optimization to handle trillions of records with optimal performance</li>
</ul>

<ul>
<li>Hands-on experience creating data lakehouse architectures and implementing data governance and security best practices across Big Data platforms</li>
</ul>

<ul>
<li>Strong logical, analytical, and problem-solving skills with ability to design and optimize distributed computing clusters for maximum throughput</li>
</ul>

<ul>
<li>Excellent communication skills for cross-functional collaboration and ability to work in a fast-paced environment with changing priorities</li>
</ul>

<ul>
<li>Experience with cloud-native data solutions including Azure Data Lake, Azure Synapse, and containerization technologies (Docker, Kubernetes)</li>
</ul>

<ul>
<li>Proven track record of implementing CI/CD pipelines for data engineering workflows, automating data pipeline deployment, and monitoring performance at scale</li>
</ul>

Benefits

<ul>
<li>Attractive Compensation</li>
</ul>

<ul>
<li>Comprehensive medical coverage for yourself and your immediate family</li>
</ul>

<ul>
<li>An environment where wellbeing is high on priority – access to regular yoga, meditation, breathwork, nutrition counseling, stress management, inclusion of family for most benefit awareness building sessions</li>
</ul>

<ul>
<li>Opportunities to be a part of a community and give back: Social activities are part of our culture; You can look forward to regular engagement, social work, community give-back initiatives</li>
</ul>

Data Engineering

What will I be doing? Design, architect, develop and maintain components of Zenoti Collaborate with a team of product managers, developers, and quality assurance engineers to define, design and deploy new features and functionality Build software that ensures the best possible usability, performance, quality and responsiveness of features Work in a team following agile development practices (SCRUM) Learn to scale your features to handle 2x to 4x growth every year and manage code that has to deal with millions of records and terabytes of data Release new features into production every month and get real feedback from thousands of customers to refine your designs Be proud of what you work on, and obsess about the quality of your work. Join our team to do the best work of your career. What skills do I need? 6+ years' experience developing ETL solutions and data pipelines with expertise in processing trillions of records efficiently 6+ years' experience with SQL Server, T-SQL, stored procedures, and deep understanding of SQL performance tuning for large-scale data processing Strong understanding of ETL concepts, data modeling, and data warehousing principles with hands-on experience building data pipelines using Python Extensive experience with Big Data platforms including Azure Fabric, Azure Databricks, Azure Data Factory (ADF), Amazon Redshift, Apache Spark, and Delta Lake Expert-level SQL skills for complex data transformations, aggregations, and query optimization to handle trillions of records with optimal performance Hands-on experience creating data lakehouse architectures and implementing data governance and security best practices across Big Data platforms Strong logical, analytical, and problem-solving skills with ability to design and optimize distributed computing clusters for maximum throughput Excellent communication skills for cross-functional collaboration and ability to work in a fast-paced environment with changing priorities Experience with cloud-native data solutions including Azure Data Lake, Azure Synapse, and containerization technologies (Docker, Kubernetes) Proven track record of implementing CI/CD pipelines for data engineering workflows, automating data pipeline deployment, and monitoring performance at scale Benefits Attractive Compensation Comprehensive medical coverage for yourself and your immediate family An environment where wellbeing is high on priority – access to regular yoga, meditation, breathwork, nutrition counseling, stress management, inclusion of family for most benefit awareness building sessions Opportunities to be a part of a community and give back: Social activities are part of our culture; You can look forward to regular engagement, social work, community give-back initiatives

Data Engineering in Hyderabad (UID-12407)

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