Senior data engineer(snowflake)

3 weeks ago

Hyderabad, India Algoleap Full time
Algoleap is one of the fastest growing digital engineering services company based out of Hyderabad working with many fortune 1000 customers in transforming their digital landscape.
At Algoleap, we believe that a truly innovative and successful workplace is one where diversity, equity, and inclusion thrive. We are dedicated to building a team that celebrates unique perspectives and experiences, fostering an environment where everyone is empowered to succeed. Algoleap offers compelling full-time roles designed to help you grow and excel. Our positions come with flexible options, including onsite and hybrid roles, allowing our team members to work closely with our clients and make a direct impact on the engagements at the same time offering great work life balance
This Senior Data Engineer role demands a strong combination of technical expertise and practical experience in building and managing complex data systems. Below is a breakdown of the core skills and responsibilities, based on your provided description:
Senior Data Engineer with 8-12 years of total experience, including 4-6 years of relevant experience :
Senior Data Engineer (8-12 Years Total, 4-6 Years Relevant Experience)
Key Skills:
Cloud Platforms :
Proficient in AWS (S3, Redshift, Glue, Lambda) and Azure (Data Lake, Synapse, Data Factory) for scalable data processing and storage.
Data Engineering Tools :
DBT : 4-6 years of experience with DBT for building, testing, and deploying transformation models in production.
Airflow : 4-6 years of hands-on experience designing, scheduling, and managing complex workflows with Airflow (integration with DBT and Snowflake).
Snowflake : Expertise in Snowflake data warehousing, including schema design, performance optimization, and cost-efficient data storage.
Data Vault & Modeling :
4-6 years of experience designing and implementing Data Vault (Raw & Business Layers) with a strong understanding of Point-in-Time (PIT) and Semantic Layer concepts.
Programming & Automation :
Strong proficiency in Python (especially Py Spark ) for building scalable data processing pipelines and automating metadata-driven workflows.
CI/CD & Dev Ops :
Hands-on experience with CI/CD pipelines in Azure Dev Ops or similar tools for automated deployment and testing of data pipelines.
Collaboration & Documentation :
Ability to communicate complex technical concepts to non-technical stakeholders.
Experience creating clear and detailed documentation for data workflows, pipelines, and governance.
Certifications :
Snow Pro Core Certification (or equivalent) required.
Key Responsibilities:
Lead Data Pipelines : Design, develop, and maintain ETL pipelines using DBT, Snowflake, and Airflow for efficient data processing and transformation.
Data Vault Implementation : Architect and implement Data Vault models to ensure scalability and flexibility of data architectures.
Performance Optimization : Optimize Snowflake queries and data models for large-scale data analytics and real-time processing.
CI/CD Automation : Develop and maintain CI/CD pipelines for deploying, testing, and monitoring data workflows in a production environment.
Collaboration : Work closely with cross-functional teams to ensure alignment of technical solutions with business requirements.
Ideal Candidate:
8-12 years total experience , with 4-6 years directly working with Data Vault , Airflow , DBT , Snowflake.
Strong ability to optimize data models and orchestrate data workflows at scale.
Proven track record of mentoring teams , leading projects , and delivering high-quality data solutions in cloud environments (AWS/Azure).
Why Join Us:
Opportunity to work with cutting-edge technology in a collaborative and fast-paced environment.
Competitive salary and benefits package.
Work with a team that values innovation, automation, and continuous improvement.
Career growth opportunities in an expanding engineering organization.

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