data pipeline developer

Datamatics Global Services Ltd

<div>Job Title: Data Integration / ETL Developer (Oracle Cloud Data Integration) 
Location: Offshore 
Experience: 5+ Years<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking an experienced Data Integration / ETL Developer responsible for designing and developing data ingestion and transformation pipelines to support enterprise analytics and reporting solutions. The ideal candidate will work with large datasets and build scalable ETL workflows that feed data into the analytics layer used for dashboards and business intelligence reports.
The role requires strong expertise in Oracle Cloud Data Integration (OCI Data Integration) or similar ETL platforms, along with advanced SQL and data transformation skills. The candidate will collaborate closely with BI developers and analysts to ensure that data structures and pipelines effectively support reporting and analytics requirements.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Develop and maintain data ingestion and transformation pipelines using Oracle Cloud Data Integration.</li><li>
Design and implement ETL workflows to extract, transform, and load data into the analytics data layer.</li><li>
Build and maintain data mappings and transformation logic to support business reporting requirements.</li><li>
Support data preparation, cleansing, and dataset creation for dashboards and analytics solutions.</li><li>
Troubleshoot and resolve data pipeline issues, failures, and data availability problems.</li><li>
Collaborate with BI developers and analysts to ensure data structures support reporting and dashboard requirements.</li><li>
Optimize ETL pipelines for performance, reliability, and scalability.</li><li>
Ensure proper documentation of data pipelines, mappings, and transformation rules.</li><li>
Follow data governance and best practices for data integration and quality management.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
Hands-on experience with Oracle Cloud Data Integration (OCI DI) or similar ETL tools.</li><li>
Strong proficiency in SQL and data transformation techniques.</li><li>
Experience designing and developing ETL pipelines for analytics and reporting solutions.</li><li>
Knowledge of data modelling concepts and data warehousing principles.</li><li>
Ability to work with large datasets and complex data transformation logic.</li><li>
Strong troubleshooting and problem-solving skills.</li><li>
Good collaboration skills to work with BI developers, analysts, and data teams.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with cloud-based data platforms and analytics environments.</li><li>
Familiarity with data warehousing architectures such as star schema and dimensional modelling.</li><li>
Exposure to Agile or iterative data engineering development practices.</li></ul>
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Data Integration / ETL Developer (Oracle Cloud Data Integration)

<div>Job Title: Data Integration / ETL Developer (Oracle Cloud Data Integration) 
Location: Offshore 
Experience: 5+ Years<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking an experienced Data Integration / ETL Developer responsible for designing and developing data ingestion and transformation pipelines to support enterprise analytics and reporting solutions. The ideal candidate will work with large datasets and build scalable ETL workflows that feed data into the analytics layer used for dashboards and business intelligence reports.
The role requires strong expertise in Oracle Cloud Data Integration (OCI Data Integration) or similar ETL platforms, along with advanced SQL and data transformation skills. The candidate will collaborate closely with BI developers and analysts to ensure that data structures and pipelines effectively support reporting and analytics requirements.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Develop and maintain data ingestion and transformation pipelines using Oracle Cloud Data Integration.</li><li>
Design and implement ETL workflows to extract, transform, and load data into the analytics data layer.</li><li>
Build and maintain data mappings and transformation logic to support business reporting requirements.</li><li>
Support data preparation, cleansing, and dataset creation for dashboards and analytics solutions.</li><li>
Troubleshoot and resolve data pipeline issues, failures, and data availability problems.</li><li>
Collaborate with BI developers and analysts to ensure data structures support reporting and dashboard requirements.</li><li>
Optimize ETL pipelines for performance, reliability, and scalability.</li><li>
Ensure proper documentation of data pipelines, mappings, and transformation rules.</li><li>
Follow data governance and best practices for data integration and quality management.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
Hands-on experience with Oracle Cloud Data Integration (OCI DI) or similar ETL tools.</li><li>
Strong proficiency in SQL and data transformation techniques.</li><li>
Experience designing and developing ETL pipelines for analytics and reporting solutions.</li><li>
Knowledge of data modelling concepts and data warehousing principles.</li><li>
Ability to work with large datasets and complex data transformation logic.</li><li>
Strong troubleshooting and problem-solving skills.</li><li>
Good collaboration skills to work with BI developers, analysts, and data teams.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with cloud-based data platforms and analytics environments.</li><li>
Familiarity with data warehousing architectures such as star schema and dimensional modelling.</li><li>
Exposure to Agile or iterative data engineering development practices.</li></ul>
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<div>Job Title: Data Integration / ETL Developer (Oracle Cloud Data Integration) 
Location: Offshore 
Experience: 5+ Years<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking an experienced Data Integration / ETL Developer responsible for designing and developing data ingestion and transformation pipelines to support enterprise analytics and reporting solutions. The ideal candidate will work with large datasets and build scalable ETL workflows that feed data into the analytics layer used for dashboards and business intelligence reports.
The role requires strong expertise in Oracle Cloud Data Integration (OCI Data Integration) or similar ETL platforms, along with advanced SQL and data transformation skills. The candidate will collaborate closely with BI developers and analysts to ensure that data structures and pipelines effectively support reporting and analytics requirements.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Develop and maintain data ingestion and transformation pipelines using Oracle Cloud Data Integration.</li><li>
Design and implement ETL workflows to extract, transform, and load data into the analytics data layer.</li><li>
Build and maintain data mappings and transformation logic to support business reporting requirements.</li><li>
Support data preparation, cleansing, and dataset creation for dashboards and analytics solutions.</li><li>
Troubleshoot and resolve data pipeline issues, failures, and data availability problems.</li><li>
Collaborate with BI developers and analysts to ensure data structures support reporting and dashboard requirements.</li><li>
Optimize ETL pipelines for performance, reliability, and scalability.</li><li>
Ensure proper documentation of data pipelines, mappings, and transformation rules.</li><li>
Follow data governance and best practices for data integration and quality management.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
Hands-on experience with Oracle Cloud Data Integration (OCI DI) or similar ETL tools.</li><li>
Strong proficiency in SQL and data transformation techniques.</li><li>
Experience designing and developing ETL pipelines for analytics and reporting solutions.</li><li>
Knowledge of data modelling concepts and data warehousing principles.</li><li>
Ability to work with large datasets and complex data transformation logic.</li><li>
Strong troubleshooting and problem-solving skills.</li><li>
Good collaboration skills to work with BI developers, analysts, and data teams.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with cloud-based data platforms and analytics environments.</li><li>
Familiarity with data warehousing architectures such as star schema and dimensional modelling.</li><li>
Exposure to Agile or iterative data engineering development practices.</li></ul>
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Torq

<div>Are you driven by the challenge of turning complex data into actionable insights? Do you thrive on building scalable data systems that power better decisions and real business impact? If you're ready to lead with purpose and bring data to life, Torq is the place for you.

We are looking for data engineers and technical leaders who don't just build pipelines and create dashboards&mdash;they design systems that solve real business challenges and influence key strategic decisions for our clients.

At Torq, you'll join a collaborative team that takes on complex, high-impact projects. You'll guide clients through the full data lifecycle&mdash;from raw ingestion to advanced analytics&mdash;and help them unlock the full potential of their data ecosystem.

What You Could Be Doing

While every project we work on is different, below is a high-level overview of some of the responsibilities/hats you may wear:
<ul>
<li>Build strong relationships with data consumers to understand usage patterns and design intuitive, scalable data models.</li>
<li>Design, develop, and deliver high-quality data pipelines that align with privacy, governance, and performance best practices.</li>
<li>Build both real-time and batch data integrations from a variety of source systems into cloud-based data lakes and warehouses.</li>
<li>Develop and maintain ETL/ELT processes and tools to support both streaming and offline analytics.</li>
<li>Define and implement key performance indicators (KPIs) to measure the efficiency, quality, and reliability of data engineering processes.</li>
<li>Participate in code reviews, promoting clean, maintainable, and well-documented code aligned with engineering best practices.</li>
<li>Create and maintain data definitions and metadata consistent with data management standards.</li>
<li>Provide operational support for data integration and transformation workflows in production environments.</li>
</ul>
What You Bring to the Table

When you join our team, you're a consultant first. This means there are core skills we expect out of each of our team members. These include:
<ul>
<li>Bachelor's degree in Data Science, Computer Science, Information Systems, Engineering, or a related field</li>
<li>8+ years of hands-on experience in data warehousing, ETL development, and data modeling (both conceptual and physical) or other related technical &amp; analytical work</li>
<li>Willingness to work a hybrid schedule (2-3 days per-week onsite)</li>
<li>Data acquisition &amp; sourcing: APIs, flat files, event streams</li>
<li>Solid experience with ETL/ELT pipeline development, scripting automation, including performance optimization &amp; data quality assurance
<ul><li>Tools like: Python, SQL, Apache Airflow, dbt, Kafka, Terraform, etc.</li>
</ul></li><li>Strong understanding of data architecture, schema design, normalization/denormalization, and data lifecycle management
<ul><li>Cloud data platforms: Azure Data Services (preferred), AWS, or Google Cloud Platform</li>
<li>Data Warehousing: Synapse, Snowflake, BigQuery, Redshift, etc.</li>
</ul></li><li>Proficient in Reporting Platforms to query large data sets
<ul><li>Ex: PowerBI, Tableau, Looker, or similar tools</li>
</ul></li><li>Familiarity with data governance security, and compliance best practices (Collibra, Unity Catalog, Purview)</li>
<li>Strong Snowflake and Python data engineering experience with hands-on pipeline development</li>
<li>Proficient in SQL and experienced in designing efficient queries for large-scale data sets</li>
<li>Strong communication skills and the ability to collaborate with both technical and non-technical stakeholders</li>
</ul>
In addition, each one of our consultants brings a unique and valuable toolbox of skills with them specific to their practice. Below are some examples of skills we are always looking to add to the team (don't worry &ndash; we don't expect you to have all of them, but they are always a plus!):
<ul>
<li>Experience with CI/CD pipelines for data solutions using tools like GitHub Actions, Azure DevOps, or Jenkins</li>
<li>Exposure to Power BI or other BI tools for data visualization and reporting</li>
<li>Experience with Delta Lake, Data Mesh, or Lakehouse architectures</li>
<li>Familiarity with Databricks on Azure</li>
</ul>
Benefits and Other Fun Stuff: 
 
We ask our consultants to be superstars, so we treat them like it. Even better, our perks are designed for employees by our employees. We do this because we believe in delivering a compelling benefits package that puts you at the heart of our rewards.
<ul>
<li>Competitive Salary &ndash; your bank account will be smiling</li>
<li>Unlimited PTO &ndash; we're serious about that work-life balance thing</li>
<li>Best-in-class health/vision/dental benefits &ndash; your health is our priority</li>
<li>Generous 401K options &ndash; take care of your future with us</li>
<li>Paid Parental Leave - supporting you during life's biggest milestones</li>
<li>Opportunity to be a key player at a highly reputable, fast-growing consulting firm</li>
<li>High degree of internal mobility and diverse project opportunities</li>
</ul>
The salary range for this position considers multiple factors influencing compensation decisions, such as skillset, previous experience, certifications, and various business &amp; organizational requirements. Being hired at or near the top of the range for this role is uncommon, as compensation determinations rely on individual circumstances. Currently, the base salary range is estimated to be between $130,000 and $170,000.<div>
Torq is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
<ul><li>Note: No visa sponsorship is available for this position, all applicants must be currently authorized to work in the United States for any employer.</li></ul></div></div>

Principal Consultant - Data Engineer

Uber

<div>About the Role
 
 
The Growth and Marketing Platform Data Team is looking for a highly skilled and passionate Data Engineer to build and scale Uber's data infrastructure. In this role, you'll develop high-performance data pipelines, real-time streaming systems, and robust data architectures that power Uber's growth and marketing initiatives. 
 
You'll collaborate with Product Managers, Data Scientists, Data Platform Engineers, and Marketing Operations to design scalable, efficient, and reliable data solutions that drive business impact. This is a highly visible and impactful role for someone who thrives on data at scale, technical leadership, and solving ambiguous problems with clarity and precision. 
 
What You Will Do
 
<ul><li>Design, develop, and maintain scalable data pipelines and backend services for processing large-scale web event analytics.</li><li>
Lead the development of core data infrastructure, ensuring high availability, performance, and reliability.</li><li>
Solve complex challenges at the intersection of low latency, high correctness, and full determinism.</li><li>
Architect and optimize data models, ETL/ELT workflows, and distributed data processing frameworks.</li><li>
Participate in code reviews, mentor junior engineers, and enforce best practices in data engineering.</li><li>
Diagnose and resolve data quality issues, ensuring accuracy, efficiency, and security.</li></ul> 

Basic Qualifications
 
<ul><li>4+ years of experience in data engineering or backend software development.</li><li>
Proficiency in Python, SQL, Java, or Scala for data pipeline development.</li><li>
Proficiency in Big Data frameworks (e.g., Spark, Flink, Presto, MapReduce) and distributed computing.</li><li>
Data warehouse and Data Modeling experience</li></ul> 
 
Preferred Qualifications 
<ul><li>
Experience in Web and SEO Analytics</li><li>
Experience in Marketing Technologies</li><li>
Designing and executing on Real-time and Near Real-time Systems</li></ul> 
For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Data Engineer - Growth and Marketing Platform

Accenture

<div>Role Overview: 
As an Oracle Data Loading Developer Consultant, you will design, develop, and maintain advanced data solutions to support data generation, collection, and processing. You will focus on creating efficient data pipelines, ensuring data quality, and implementing ETL processes for seamless data migration and deployment across systems. This role requires subject matter expertise, collaboration with cross-functional teams, and contributing to impactful decisions while providing innovative solutions.
Key Responsibilities:<ul><li>
Design and develop robust data solutions to optimize operational efficiency.</li><li>
Build and maintain reliable data pipelines, ensuring high performance and data quality.</li><li>
Implement ETL processes for effective data migration and deployment across systems.</li><li>
Collaborate with cross-functional teams to identify and implement data-driven strategies.</li><li>
Conduct regular assessments to monitor and improve data quality.</li><li>
Stay updated with industry trends and best practices in data engineering.</li><li>
Provide solutions to complex problems within your team and across multiple teams.</li><li>
Contribute to key decisions and ensure alignment with organizational goals.</li></ul></div>
 
<ul><li>Expert Proficiency: Oracle Data Integrator (ODI), Data Migrations, Data Access, Data Engineering, and Data Pipelines.</li><li>
Advanced Proficiency: Data Processing methodologies and tools.</li><li>
Strong problem-solving and analytical skills.</li><li>
Ability to collaborate effectively across teams and drive data-driven strategies.</li><li>
Commitment to maintaining high standards of data governance and quality assurance.</li></ul>

Oracle Data Loading Developer-Consultant

<div>
 
 Role Overview:
 
 
 
 As an Oracle Data Loading Developer Consultant, you will design, develop, and maintain advanced data solutions to support data generation, collection, and processing. You will focus on creating efficient data pipelines, ensuring data quality, and implementing ETL processes for seamless data migration and deployment across systems. This role requires subject matter expertise, collaboration with cross-functional teams, and contributing to impactful decisions while providing innovative solutions.
 
 
 
 Key Responsibilities:
 
 
 
 
 <li>
 Design and develop robust data solutions to optimize operational efficiency.
 
 </li>
 <li>
 Build and maintain reliable data pipelines, ensuring high performance and data quality.
 
 </li>
 <li>
 Implement ETL processes for effective data migration and deployment across systems.
 
 </li>
 <li>
 Collaborate with cross-functional teams to identify and implement data-driven strategies.
 
 </li>
 <li>
 Conduct regular assessments to monitor and improve data quality.
 
 </li>
 <li>
 Stay updated with industry trends and best practices in data engineering.
 
 </li>
 <li>
 Provide solutions to complex problems within your team and across multiple teams.
 
 </li>
 <li>
 Contribute to key decisions and ensure alignment with organizational goals.
 
 </li>
 <li>
 Expert Proficiency: Oracle Data Integrator (ODI), Data Migrations, Data Access, Data Engineering, and Data Pipelines.
 
 </li>
 <li>
 Advanced Proficiency: Data Processing methodologies and tools.
 
 </li>
 <li>
 Strong problem-solving and analytical skills.
 
 </li>
 <li>
 Ability to collaborate effectively across teams and drive data-driven strategies.
 
 </li>
 <li>
 Commitment to maintaining high standards of data governance and quality assurance.
 
 
 
 </li>
</div>

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