5 Etlelt Tools Jobs

We are seeking a highly skilled and experienced Snowflake Architect to take charge of designing, developing, and deploying enterprise-grade cloud data solutions. The ideal candidate should possess a solid background in data architecture, cloud data platforms, and Snowflake implementation, along with practical experience in end-to-end data pipeline and data warehouse design. In this role, you will be responsible for leading the architecture, design, and implementation of scalable Snowflake-based data warehousing solutions. You will also be tasked with defining data modeling standards, best practices, and governance frameworks. Collaborating with stakeholders to comprehend data requirements and translating them into robust architectural solutions will be a key part of your responsibilities. Furthermore, you will be required to design and optimize ETL/ELT pipelines utilizing tools like Snowpipe, Azure Data Factory, Informatica, or DBT. Implementing data security, privacy, and role-based access controls within Snowflake is also essential. Providing guidance to development teams on performance tuning, query optimization, and cost management within Snowflake will be part of your duties. Additionally, ensuring high availability, fault tolerance, and compliance across data platforms will be crucial. Mentoring developers and junior architects on Snowflake capabilities is an important aspect of this role. Qualifications and Experience: - 8+ years of overall experience in data engineering, BI, or data architecture, with a minimum of 3+ years of hands-on Snowflake experience. - Expertise in Snowflake architecture, data sharing, virtual warehouses, clustering, and performance optimization. - Strong proficiency in SQL, Python, and cloud data services (e.g., AWS, Azure, or GCP). - Hands-on experience with ETL/ELT tools like ADF, Informatica, Talend, DBT, or Matillion. - Good understanding of data lakes, data mesh, and modern data stack principles. - Experience with CI/CD for data pipelines, DevOps, and data quality frameworks. - Solid knowledge of data governance, metadata management, and cataloging. Desired Skills: - Snowflake certification (e.g., SnowPro Core/Advanced Architect). - Familiarity with Apache Airflow, Kafka, or event-driven data ingestion. - Knowledge of data visualization tools such as Power BI, Tableau, or Looker. - Experience in healthcare, BFSI, or retail domain projects. Please note that this job description is sourced from hirist.tech.,

You will be responsible for designing and implementing scalable Snowflake data warehouse architectures, which includes schema modeling and data partitioning. You will lead or support data migration projects from on-premise or legacy cloud platforms to Snowflake. Additionally, you will be developing ETL/ELT pipelines and integrating data using tools such as DBT, Fivetran, Informatica, Airflow, etc. It will be part of your role to define and implement best practices for data modeling, query optimization, and storage efficiency in Snowflake. Collaboration with cross-functional teams, including data engineers, analysts, BI developers, and stakeholders, to align architectural solutions will be essential. Ensuring data governance, compliance, and security by implementing RBAC, masking policies, and access control within Snowflake will also be a key responsibility. Working with DevOps teams to enable CI/CD pipelines, monitoring, and infrastructure as code for Snowflake environments will be part of your duties. Optimizing resource utilization, monitoring workloads, and managing the cost-effectiveness of the platform will also be under your purview. Staying updated with Snowflake features, cloud vendor offerings, and best practices is crucial. Qualifications & Skills: - Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. - X years of experience in data engineering, data warehousing, or analytics architecture. - 3+ years of hands-on experience in Snowflake architecture, development, and administration. - Strong knowledge of cloud platforms (AWS, Azure, or GCP). - Solid understanding of SQL, data modeling, and data transformation principles. - Experience with ETL/ELT tools, orchestration frameworks, and data integration. - Familiarity with data privacy regulations (GDPR, HIPAA, etc.) and compliance. Qualifications: - Snowflake certification (SnowPro Core / Advanced). - Experience in building data lakes, data mesh architectures, or streaming data platforms. - Familiarity with tools like Power BI, Tableau, or Looker for downstream analytics. - Experience with Agile delivery models and CI/CD workflows.,

As a Data Engineer specializing in Snowflake architecture, you will be responsible for designing and implementing scalable data warehouse architectures, including schema modeling and data partitioning. Your role will involve leading or supporting data migration projects to Snowflake from on-premise or legacy cloud platforms. You will be developing ETL/ELT pipelines and integrating data using various tools such as DBT, Fivetran, Informatica, and Airflow. It will be essential to define and implement best practices for data modeling, query optimization, and storage efficiency within Snowflake. Collaboration with cross-functional teams, including data engineers, analysts, BI developers, and stakeholders, will be crucial to align architectural solutions effectively. Ensuring data governance, compliance, and security by implementing RBAC, masking policies, and access control within Snowflake will also be part of your responsibilities. Working closely with DevOps teams to enable CI/CD pipelines, monitoring, and infrastructure as code for Snowflake environments is essential. Your role will involve optimizing resource utilization, monitoring workloads, and managing the cost-effectiveness of the platform. Staying updated with Snowflake features, cloud vendor offerings, and best practices will be necessary to drive continuous improvement in data architecture. Qualifications & Skills: - Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. - 5+ years of experience in data engineering, data warehousing, or analytics architecture. - 3+ years of hands-on experience in Snowflake architecture, development, and administration. - Strong knowledge of cloud platforms such as AWS, Azure, or GCP. - Solid understanding of SQL, data modeling, and data transformation principles. - Experience with ETL/ELT tools, orchestration frameworks, and data integration. - Familiarity with data privacy regulations (GDPR, HIPAA, etc.) and compliance. Additional Qualifications: - Snowflake certification (SnowPro Core / Advanced). - Experience in building data lakes, data mesh architectures, or streaming data platforms. - Familiarity with tools like Power BI, Tableau, or Looker for downstream analytics. - Experience with Agile delivery models and CI/CD workflows. This role offers an exciting opportunity to work on cutting-edge data architecture projects and collaborate with diverse teams to drive impactful business outcomes.,

You will be a valuable member of the data engineering team, focusing on developing data pipelines, transforming data, exploring new data patterns, optimizing current data feeds, and implementing enhancements. Your primary responsibilities will involve utilizing your expertise in RDBMS concepts, hands-on experience with AWS Cloud platform and Services (including IAM, EC2, Lambda, RDS, Timestream, Glue, etc.), familiarity with data streaming tools like Kafka, practical knowledge of ETL/ELT tools, and understanding of Snowflake/PostgreSQL or any other database system. Ideally, you should also have a good grasp of data modeling techniques to further bolster your capabilities in this role.,

You are a highly skilled and experienced Azure Data Architect & Senior Data Engineer who will be responsible for designing, implementing, and maintaining robust data solutions that support the business objectives. You have a deep understanding of data engineering principles, cloud technologies, and the Azure platform. You possess expertise in data modeling, integration, design, and data management. You can produce relevant data models and design the organization's data flow. You have experience with Azure cloud solutions related to data acquisition, transformation, storage, analysis, and loading, including SQL application data and unstructured data. Your proficiency extends to various SQL database languages such as T-SQL, Databricks, PL/SQL, and MySQL. You understand the advantages and drawbacks of each and can set them up effectively and securely across different data platforms and environments. You excel in building and maintaining data pipelines and workflows using tools like Azure Data Factory, Azure Functions, and others. You develop ETL/ELT processes to extract, transform, and load data from various sources into data warehouses and data lakes. Implementing data integration solutions using Azure Synapse Analytics, Azure SQL Database, and other Azure data storage options is also within your skillset. In addition, you develop and maintain comprehensive data architecture blueprints and roadmaps aligned with the business strategy. You assess and optimize existing data systems and processes for efficiency and scalability. Designing and implementing data governance frameworks to ensure data quality and integrity is part of your responsibilities. You have strong proficiency in Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, and Azure Databricks. You are an expert in data modeling, data warehousing, and data lake concepts. Your knowledge also extends to data engineering tools and technologies, such as ETL/ELT tools, data integration frameworks, and data quality tools. Programming languages like Python, SQL, and Scala are familiar to you, and you have an understanding of data governance and compliance frameworks such as GDPR and CCPA. You hold a Bachelor's degree in Computer Science, Engineering, or a related field, with 10+ years of experience in data engineering and data architecture roles. You have at least 5+ years of hands-on experience with Azure data services like Azure Synapse, Azure SQL Database, Azure Cosmos DB, Azure Data Lake, Azure Data Factory, and Azure Databricks, or related services. Proven experience working with Azure cloud technologies, strong analytical and problem-solving skills, excellent communication and interpersonal skills, and the ability to work independently and as part of a team are some of your key qualifications. Additionally, certifications related to Azure data technologies, such as Azure Certified Data Engineer, are considered a plus.,