data warehouse developer

Accenture

<p><b>Project Role : </b>Application Developer<br>
<b>Project Role Description : </b>Design, build and configure applications to meet business process and application requirements.
<br>
<b>Must have skills : </b>Data Warehouse ETL Testing<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>5</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions, and ensuring that applications function seamlessly to support business operations. You will engage in problem-solving activities, contribute to key decisions, and manage the development process to deliver high-quality applications that align with organizational goals. Roles &amp; Responsibilities:- Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact. Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities. - Monitor project progress and ensure timely delivery of application features. Professional &amp; Technical Skills:- Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization. Must To Have Skills: Proficiency in Data Warehouse ETL Testing. - Strong understanding of data integration processes and methodologies. - Experience with various ETL tools and frameworks. - Ability to design and execute test cases for data validation. - Familiarity with database management systems and SQL. Additional Information:- The candidate should have minimum 5 years of experience in Data Warehouse ETL Testing. - This position is based in Mumbai. - A 15 years full time education is required.</p>
<br>
15 years full time education

Application Developer

DICETEK LLC

<div><p>As a Data Integration &amp; Architecture Specialist, you will be a pivotal member of our data engineering and architecture team. You will play a crucial role in designing, implementing, and optimizing data integration solutions using data warehouse technologies. This position demands a strong understanding of Azure and Data warehouse solutions, data architecture principles, and the ability to design and administer robust data ecosystems.
</p><p><b>Primary skills:
</b></p><ul><li>Azure, Delta Lake, Data Factory, DataBricks, Python/PySpark
</li><li>SAS DWH<br>
</li></ul><p></p><br>
<ul><li>Bachelor's or master&rsquo;s degree in computer science, Information Technology, or a related field.
</li><li>Should have at least 4 years of experience in data engineering.
</li><li>Should possess at least 3 years of UAE banking experience.
</li><li>Candidates with Azure data products and data warehouse experience will be preferred
</li><li>Strong understanding of data warehousing concepts, ETL processes, and data governance.
</li><li>Knowledge of SQL for data manipulation and querying.
</li><li>Excellent problem-solving and troubleshooting skills.
</li><li>Strong communication and collaboration skills.
</li></ul><p><b>Certifications (Preferred):
</b></p><ul><li>Certified Data Integration Developer
</li><li>Azure Data Engineering Associate</li></ul></div><p></p>

Azure Data (warehouse) Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p>Greetings from TCS!</p>
<p>
TCS is hiring for <b>ORACLE SQL, Digital : Python Dev</b></p>
<p>
Desired Experience Range: <b>5to 10 Years</b></p>
<p>
Job Location: <b>Chennai / Bangalore</b></p>
<ul><li>Atleast 10 years of development work experience in Oracle PLSQL based Data warehouse projects. And, with good Shell Scripting experience.</li></ul>
<ul><li>Hands-on experience in data analysis.</li></ul>
</div></div></div><div><div><div><b>Location</b></div>
<div>Bengaluru</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Developer</div>
</div><div><div><b>Job Id</b></div>
<div>380286</div>
</div><div><div><b>Desired Skills</b></div>
<div>Oracle | PostgreSQL</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

ORACLE SQL

Squarera

<p>We are looking for a motivated <b>Snowflake Developer</b> with <b>1&ndash;3 years of experience</b> in data engineering and cloud-based data warehousing. The ideal candidate should have strong SQL skills, hands-on experience with Snowflake features, and a solid understanding of modern ETL/ELT processes.</p><p>You will be responsible for building and optimizing scalable data pipelines, ensuring high data quality, and supporting analytics and reporting requirements across teams.</p><p><b>Key Responsibilities:</b></p><ul><li>Develop, implement, and maintain <b>data warehouse solutions</b> using the <b>Snowflake Cloud Data Platform</b>.</li><li>Build and optimize <b>ETL/ELT pipelines</b> using tools such as <b>dbt, Airflow, or Azure Data Factory</b>.</li><li>Design and maintain <b>data models</b>, schemas, and transformations for analytics and reporting.</li><li>Implement <b>data performance optimization</b>, partitioning, and clustering strategies in Snowflake.</li><li>Manage <b>data access, roles, and security policies</b>.</li><li>Integrate Snowflake with <b>cloud storage and BI tools</b> like Power BI, Tableau, or Looker.</li><li>Troubleshoot and resolve issues in data ingestion, transformation, and performance.</li></ul><p><b>Required Skills &amp; Experience:</b></p><ul><li><b>1&ndash;3 years</b> of experience as a <b>Snowflake Developer</b> or <b>Data Engineer</b>.</li><li>Strong command over <b>SQL</b> and <b>data modeling concepts</b> (star/snowflake schema).</li><li>Practical experience with <b>Snowflake architecture</b> (warehouses, Snowpipes, Streams, Tasks, etc.).</li><li>Familiarity with <b>cloud environments</b> (AWS, Azure, or GCP).</li><li>Experience working with <b>structured and semi-structured data</b> (JSON, Parquet, etc.).</li><li>Basic knowledge of <b>Python</b> for scripting and data manipulation.</li><li>Good understanding of <b>ETL/ELT workflows</b> and best practices.</li></ul><p><b>Preferred Qualifications:</b></p><ul><li><b>SnowPro Core Certification</b> (a plus).</li><li>Experience in <b>CI/CD pipelines</b> and version control (Git, Jenkins).</li><li>Exposure to <b>data governance</b> and <b>security compliance</b> processes.</li></ul><p><b>Benefits:</b></p><ul><li><b>Market-competitive salary</b></li><li><b>Opportunity for international travel</b></li><li><b>Medical coverage</b></li><li><b>Annual performance-based bonus</b></li><li><b>Collaborative and innovative work environment</b></li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Snowflake Developer

Advansys

<b>Key Responsibilities:</b><br>
<ul>
<li>Design, develop, and maintain ETL workflows and mappings using Informatica PowerCenter (or IICS).</li>
<li>Collaborate with business analysts, data architects, and stakeholders to gather and translate business requirements into technical solutions.</li>
<li>Develop and optimize data pipelines to extract, transform, and load data from multiple sources into the data warehouse.</li>
<li>Perform data quality checks, error handling, and performance tuning to ensure reliable and efficient data processing.</li>
<li>Maintain and enhance existing data warehouse architectures, including star/snowflake schemas, fact and dimension tables.</li>
<li>Implement and monitor job scheduling and workflow dependencies (e.g., using Control-M, Autosys, or Informatica Scheduler).</li>
<li>Support data governance, metadata management, and data lineage initiatives.</li>
<li>Troubleshoot and resolve ETL and data-related issues in production and development environments.</li>
<li>Participate in code reviews, unit testing, and deployment activities following DevOps or CI/CD practices.</li>
</ul>
<b>Requirements:</b><br>
<b>Qualifications :</b><br>
<ul>
<li>At least 4 years of hands-on experience in data integration and ETL using Informatica PowerCenter or Informatica Intelligent Cloud Services (IICS).</li>
<li>Proven experience in the design and implementation of Data Warehouses for large-scale enterprise projects.</li>
<li>Knowledge and practical experience with database systems such as Oracle, SQL Server, Snowflake, or equivalent platforms like SingleStore (MemSQL).</li>
</ul>
<b>Technical Skills:</b><br>
<ul>
<li>Proficiency in designing and implementing ETL/ELT processes using Informatica tools.</li>
<li>Experience in data modeling, including the design and construction of Star Schema and Snowflake Schema models.</li>
<li>Ability to optimize query performance and manage large data volumes in SingleStore environments.</li>
<li>Experience in Data Quality Management, implementing data validation and auditing mechanisms.</li>
<li>Familiarity with BI/Analytics fundamentals and connecting data warehouses to reporting tools such as Power BI or Tableau.</li>
</ul>


Informatica Data Warehouse Engineer (Single Store)

Advansys ME

<b>Key Responsibilities:</b><br>
Design, develop, and maintain ETL workflows and mappings using Informatica PowerCenter (or IICS).
<br>Collaborate with business analysts, data architects, and stakeholders to gather and translate business requirements into technical solutions.
<br>Develop and optimize data pipelines to extract, transform, and load data from multiple sources into the data warehouse.
<br>Perform data quality checks, error handling, and performance tuning to ensure reliable and efficient data processing.
<br>Maintain and enhance existing data warehouse architectures, including star/snowflake schemas, fact and dimension tables.
<br>Implement and monitor job scheduling and workflow dependencies (e.g., using Control-M, Autosys, or Informatica Scheduler).
<br>Support data governance, metadata management, and data lineage initiatives.
<br>Troubleshoot and resolve ETL and data-related issues in production and development environments.
<br>Participate in code reviews, unit testing, and deployment activities following DevOps or CI/CD practices.
<br>Requirements
<br><br>
<b>Qualifications :</b><br>
At least 4 years of hands-on experience in data integration and ETL using Informatica PowerCenter or Informatica Intelligent Cloud Services (IICS).
<br>Proven experience in the design and implementation of Data Warehouses for large-scale enterprise projects.
<br>Knowledge and practical experience with database systems such as Oracle, SQL Server, Snowflake, or equivalent platforms like SingleStore (MemSQL).
<br><br>
<b>Technical Skills:</b><br>
Proficiency in designing and implementing ETL/ELT processes using Informatica tools.
<br>Experience in data modeling, including the design and construction of Star Schema and Snowflake Schema models.
<br>Ability to optimize query performance and manage large data volumes in SingleStore environments.
<br>Experience in Data Quality Management, implementing data validation and auditing mechanisms.
<br>Familiarity with BI/Analytics fundamentals and connecting data warehouses to reporting tools such as Power BI or Tableau.

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