21 Etlelt Tools Jobs

You will be responsible for leveraging your expertise in analytics, data integration, and reporting to drive actionable insights for the company. Your role will involve hands-on experience with Databricks and Power BI, as well as proficiency in modern ETL/ELT tools and Azure cloud platforms. Your strong analytical thinking and communication skills will be crucial in collaborating with technical and non-technical stakeholders to meet high customer expectations. - Utilize Databricks for development and testing, with advanced skills in Databricks SQL, Python, and/or Scala for data engineering. - Manage clusters, auto-scaling, and cost optimization within Databricks. - Utilize Power BI for build...

As a Senior Analyst/Data Engineer in Big Data Analytics & Engineering at Mastercard, your role will involve focusing on data engineering and data unification across various data assets to enable a unified view of data from multiple sources. Your primary responsibility will be to support the development of new innovative data-driven cyber products, services, and actionable insights. - Perform data ingestion, aggregation, and processing to drive relevant insights from available data sets. - Collaborate with different teams such as Product Manager, Data Science, Platform Strategy, and Technology to understand data needs and deliver data solutions that generate business value. - Manipulate and a...

As a Data Architect at Searce, you will play a crucial role in collaborating with business leads, analysts, data scientists, and engineers to develop data products that drive better decision-making. Your responsibilities will include: - Proposing architectural solutions for migrating and enhancing data from on-premise to the cloud. - Strategizing the migration of client data using GCP or AWS effectively. - Providing advisory and thought leadership on analytics environments utilizing Cloud-based platforms and big data technologies. - Designing and implementing scalable data architectures leveraging technologies like Big Query, Hadoop, NoSQL, etc. - Creating data access patterns for various wo...

Job Description: You will be a valuable member of the data engineering team, contributing to the development of data pipelines, data transformations, and exploring new data patterns through proof of concept initiatives. Your role will also involve optimizing existing data feeds and implementing enhancements to improve data processes. Key Responsibilities: - Develop data pipelines and data transformations. - Explore new data patterns through proof of concept initiatives. - Optimize existing data feeds. - Implement enhancements to improve data processes. Qualifications Required: - Strong understanding of RDBMS concepts. - Hands-on experience with the AWS Cloud platform and its services such as...

You are a Data Solution Architect with 10-12 years of experience in designing, architecting, and delivering enterprise-grade data solutions. Your role at Tezo involves leading the design and architecture of end-to-end data solutions across enterprise environments. You will be responsible for developing conceptual, logical, and physical data models aligned with business needs and architecting, implementing, and optimizing data warehouses, data marts, and data lakes for analytics and reporting. Collaborating with business stakeholders, solution consultants, and sales teams during presales discussions, providing architectural guidance on ETL/ELT design, data integration, and migration strategie...

As a highly skilled and experienced Snowflake Architect, your role will involve designing, developing, and deploying enterprise-grade cloud data solutions. You should have a robust background in data architecture, cloud data platforms, and Snowflake implementation. Hands-on experience in end-to-end data pipeline and data warehouse design is essential for this position. **Key Responsibilities:** - Lead the architecture, design, and implementation of scalable Snowflake-based data warehousing solutions - Define data modeling standards, best practices, and governance frameworks - Design and optimize ETL/ELT pipelines using tools such as Snowpipe, Azure Data Factory, Informatica, or DBT - Collabo...

Role Overview: You will be responsible for architecting and delivering highly scalable, distributed, cloud-based enterprise data solutions. Your role will involve designing scalable data architectures with Snowflake, integrating cloud technologies such as AWS, Azure, GCP, and ETL/ELT tools like DBT. Additionally, you will guide teams in proper data modeling, transformation, security, and performance optimization. Key Responsibilities: - Architect and deliver highly scalable, distributed, cloud-based enterprise data solutions - Design scalable data architectures with Snowflake and integrate cloud technologies like AWS, Azure, GCP, and ETL/ELT tools such as DBT - Guide teams in proper data mod...

As a Data Engineer & Quality Management professional, you will be responsible for designing, implementing, and managing data platforms and pipelines to enable data access and aggregation functionalities in a cloud environment. Your key responsibilities will include: - Designing and developing data warehouse and BI platforms, including architecture, prototyping, and development of data extract, transformation, cleansing, and integration of both structured and unstructured data. - Transforming raw data into valuable insights using Analytics, Business Intelligence (BI), and visualization tools. - Providing technical expertise to create efficient solutions for consolidating data from various dat...

As a Data Engineer with 4+ years of experience in building and managing scalable data solutions, your role will involve designing, implementing, and optimizing data pipelines using Azure Data Factory. You will be responsible for implementing ETL/ELT processes for structured and unstructured data, building and optimizing data warehouses for analytics and reporting needs, and integrating data from multiple sources to ensure data quality and reliability. Working with Azure services like Data Lake, Synapse, and Databricks, you will deliver end-to-end data solutions and maintain RBAC policies for secure data access. Collaboration with data analysts, data scientists, and business stakeholders is e...

You may occasionally be required to travel for business. "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! The IZOT pro...

You will be working as a Data Architect at Niveus Solutions, a dynamic organization focused on utilizing data for business growth and decision-making. Your role will be crucial in designing, building, and maintaining robust data platforms on Azure and GCP. As a Senior Data Architect, your responsibilities will include: - Developing and implementing comprehensive data architectures such as data warehouses, data lakes, and data lake houses on Azure and GCP. - Designing data models aligned with business requirements to support efficient data analysis and reporting. - Creating and optimizing ETL/ELT pipelines using tools like Databricks, Azure Data Factory, or GCP Data Fusion. - Designing scalab...

At PwC, the focus in data and analytics engineering is on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will concentrate on designing and building data infrastructure and systems to enable efficient data processing and analysis. Your responsibilities include developing and implementing data pipelines, data integration, and data transformation solutions. As an AWS Architect / Manager at PwC - AC, you will interact with Offshore Manager/Onsite Business Analyst to under...

As a Snowflake Data Engineer with 3-5 years of experience, you will be responsible for designing, developing, and optimizing cloud-based data warehousing solutions. This is an exciting opportunity to work on a flagship data initiative for a premier Big 4 consulting client, offering ample scope for technical innovation, learning, and career growth. Your key responsibilities will include: - Designing and developing high-performance data pipelines in Snowflake for data ingestion, transformation, and storage. You will focus on external tables, semi-structured data handling, and transformation logic. - Optimizing Snowflake workloads to ensure optimal query execution and cost-effective utilization...

About Everest Group: At Everest Group, we aim to provide you with the confidence to make informed decisions by leveraging our deep expertise and rigorous research. As a leading research firm, we specialize in assisting business leaders in navigating today's market challenges, optimizing operational and financial performance, and creating transformative experiences. With a focus on technology, business processes, and engineering, we offer precise and action-oriented guidance through the lenses of talent, sustainability, and sourcing. For more details, please visit our website at www.everestgrp.com. About the Role: We are currently looking for a dynamic and experienced Practice Director (PD) t...

The role of Lead, Software Engineer at Mastercard involves playing a crucial part in the Data Unification process across different data assets to create a unified view of data from multiple sources. This position will focus on driving insights from available data sets and supporting the development of new data-driven cyber products, services, and actionable insights. The Lead, Software Engineer will collaborate with various teams such as Product Manager, Data Science, Platform Strategy, and Technology to understand data needs and requirements for delivering data solutions that bring business value. Key responsibilities of the Lead, Software Engineer include performing data ingestion, aggrega...

You will be a valuable member of the data engineering team, contributing to the development of data pipelines, data transformations, and exploring new data patterns through proof of concept initiatives. Your role will also involve optimizing existing data feeds and implementing enhancements to improve data processes. Your primary skills should include a strong understanding of RDBMS concepts, hands-on experience with the AWS Cloud platform and its services such as IAM, EC2, Lambda, RDS, Timestream, and Glue. Additionally, proficiency in data streaming tools like Kafka, hands-on experience with ETL/ELT tools, and familiarity with databases like Snowflake or Postgres are essential. It would be...

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 an...

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 es...

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 stak...

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 da...