data integration engineer

Accenture

Project Role : Data Platform Engineer 
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
 
Must have skills : Python (Programming Language) 
Good to have skills : NA 
Minimum 3 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary: As a Data Platform Engineer, you will assist in the development and design of the data platform blueprint, ensuring that all relevant components are effectively integrated. Your typical day will involve collaborating with Integration Architects and Data Architects to create a cohesive environment that supports data models and system integration, while also addressing any challenges that arise in the process. Roles &amp; Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Engage in continuous learning to stay updated with industry trends and technologies. - Support the team in troubleshooting and resolving data-related issues. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language). - Strong understanding of data structures and algorithms. - Experience with data integration tools and techniques. - Familiarity with cloud platforms and services related to data management. - Ability to write efficient and maintainable code. Additional Information: - The candidate should have minimum 3 years of experience in Python (Programming Language). - This position is based at our Bengaluru office. - A 15 years full time education is required.
 
15 years full time education

Data Platform Engineer

Xeroadss Pvt Ltd

CCM/ACT Data EngineerLocation: Chennai Experience: 4+ Years Open Positions: 1Key Skills &amp; Responsibilities:<ul><li>Data Ingestion &amp; Integration</li><li>Automated Evidence Gathering</li><li>Snowflake</li><li>Databricks</li><li>SQL</li><li>API Integration</li></ul>Job Type: Full-timePay: Up to ₹1,600,000.00 per yearWork Location: In person

CCM/ACT Data Engineer

Brillio LLC

<div><h1 class="jobSectionHeader">Senior Data Engineer - R01555142</h1>
<div>Senior Data Engineer</div><h6 class="jobSectionHeader">
Primary Skills</h6><ul><li>
ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures
</li></ul><h6 class="jobSectionHeader">Specialization</h6><ul><li>
ETL Specialization: Data Engineer
</li></ul><h6 class="jobSectionHeader">Job requirements</h6><ul><li>
&bull; ETL: SSIS, Denodo &bull; Databases: SQL Server, Oracle &bull; Scheduler: Control-M Job Description &ndash; Data Engineer (A1 Band: 3&ndash;5 Years) Job Title: Data Engineer Experience Band: A1 (3&ndash;5 Years) Job Purpose As a Data Engineer, you will contribute to the design, development, and support of enterprise data platforms. You will work with senior engineers to implement efficient ETL processes using SSIS, Denodo, SQL Server, and Oracle, while leveraging Control-M for job scheduling. This role is an excellent opportunity to strengthen your expertise in SQL development, data integration, and performance optimization within a large-scale enterprise environment. Role &amp; Responsibilities: &bull; Develop, test, and maintain SQL queries, stored procedures, and views to extract and transform data from multiple sources. &bull; Implement ETL workflows using SSIS and Denodo for data integration. &bull; Schedule and monitor jobs using Control-M to ensure timely data processing. &bull; Perform data profiling, source-to-target mapping, and data validation activities. &bull; Optimize SQL queries and troubleshoot performance issues. &bull; Support database operations on SQL Server and Oracle. &bull; Participate in unit testing and assist with data quality checks. Candidate Profile: &bull; Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field. &bull; 3-5 years of experience as a Data Engineer or in a similar role. &bull; Strong knowledge of SQL (T-SQL/PL-SQL) and relational databases. &bull; Hands-on experience with SSIS and basic Denodo knowledge. &bull; Exposure to Control-M job scheduling. &bull; Strong problem-solving and analytical skills.</li></ul></div>

Senior Data Engineer – R01555142

Fairview Health Services

<div>Responsibilities/Job Description:
<div>
Fairview Health Services seeks applicants for Data Engineer at its location in Minneapolis, MN.</div><div> 
</div><ul><li>Duties include implementation, maintenance and architecture of the MHealth Fairview data environment, leveraging data tools to acquire, restructure, and store enterprise data in a data warehouse and data marts.</li><li>
Plan, design and deploy enterprise data strategies by analyzing and translating business needs into long-term solution data models.
</li><li>Support Fairview&rsquo;s partnership with major academic institution focusing on healthcare research.
</li><li>Benefits: comprehensive package to include PTO, Medical, Dental, Vision, Retirement Savings.</li></ul><div>
Requirements:
</div><ul><li>Master&rsquo;s degree in Technology Management, Computer Science, Data Engineering or related, plus 3 years experience (or Bachelor&rsquo;s degree plus 5 years exp.) in healthcare data engineering to include: Epic Data Models (Caboodle, Cogito, Clarity, Clinical)</li><li>
Experience with C, C++; Java, Python, RDBMS (Oracle, MS Access, MySql, PostgreSQL,);
</li><li>Experience performing Oracle to Microsoft SQL mappings;
</li><li>Experience with NoSQL databases (Hbase, Cassandra);
</li><li>Experience with Big Data Ecosystem utilizing Hadoop, MapReduce, Hive, Pig, Oozie, Sqoop, Kafka, Spark);
</li><li>Experience with ETL and data integration tools (IBM DataStage, DBeaver, ER/Studio for data modeling and transformation; experience developing ETL Flow Dashboards for data pipeline monitoring and reporting;
</li><li>Experience with Power BI Development, creating interactive reports and dashboards for data visualization and analytics.</li><li>
Interpreting statistical reliability and data quality within healthcare datasets</li><li>
Experience supporting clinical research initiatives;</li><li>
Experience with Epic data integration; ETL processes; data validation</li></ul> 
<div></div>
Qualifications:
<div>
Salary: $113,000 - $144,000 / yr</div></div>

Data Engineer

NextGenI

<div><div><div><div><div><div><div><ul><div>Karachi</div>
<div>Full-Time</div><div> 
</div></ul></div></div></div></div></div></div><div><div><div>Job Details:
<div><ul><li>Role: Data Engineer</li></ul>
<ul><li>Location: Karachi (Hybrid 2+3)</li></ul>
<ul><li>Experience: 4+ Years</li></ul>
<ul><li>Type: Full Time</li></ul>
</div>
About NextGENi: 
 
NextGENi (Next Generation Innovations) is transforming how regional startups build their technology teams. We help ambitious founders build and manage their offshore technology teams at twice the speed and fraction of the cost. We have built tech teams for some of the leading startups in the region including Careem, Dubizzle, and Kavak. Our mission is to create exceptional tech teams while maintaining an unparalleled culture and the highest regard for professional principles.
About the Role: 
 
We are looking for a Data Engineer to join our fast-paced and data-driven engineering team. In this role, the applicant will take ownership of data engineering solutions. As a client-facing professional, the selected applicant will be responsible for designing and implementing ETL pipelines, building and managing Data Lakes and Data Warehouses, and leveraging AWS services to process and store large volumes of data efficiently. 
Key Responsibilities:
<div><ul><li>Lead the design and implementation of ETL/ELT processes for data integration and transformation.</li></ul>
<ul><li>Build and manage Data Lakes and Data Warehouses to support analytics and reporting.</li></ul>
<ul><li>Work extensively with AWS services including Lambda, Glue, Redshift, DMS and QuickSight.</li></ul>
<ul><li>Collaborate closely with clients and stakeholders to understand their data needs and provide strategic solutions.</li></ul>
<ul><li>Ensure data quality, integrity, and scalability across various data systems.</li></ul>
<ul><li>Optimize and maintain data pipelines and processes to meet performance standards.</li></ul>
</div>
Key Requirements:
<div><ul><li>Extensive experience with ETL/ELT processes and data integration.</li></ul>
<ul><li>Experience building and managing Data Lakes and Data Warehouses.</li></ul>
<ul><li>Strong hands-on experience with Python, PySpark, and SQL</li></ul>
<ul><li>Proficiency in AWS services such as Lambda, Glue, Redshift, DMS and QuickSight.</li></ul>
<ul><li>Strong communication skills with the ability to explain technical solutions.</li></ul>
<ul><li>Ability to work independently and manage complex data engineering projects.</li></ul>
</div>
Nice to Have:
<div><ul><li>Experience with dbt for data modelling/transformations</li></ul>
<ul><li>Experience with reporting tools like Metabase or similar BI platforms</li></ul>
<ul><li>Exposure to CI/CD or Infrastructure as Code.</li></ul>
</div>
<div><div>Instructions to Apply
To Apply, send your resumes to talent@nextgeni.com with subject mentioning &ldquo;NGI-DE-002&rsquo;&rsquo; 
Download a blank applicant form
<div><div>Download Form</div></div>
<div>Disclaimer 
Kindly refrain from renaming this file or altering the form&rsquo;s format, as it may result in rejection by the ATS. member at NextGENi, and you have cleared the assignment.</div>
</div></div>
</div></div></div><div><div><div><div>Benefits
If you give your employees the best, they will give you their best! 
We offer the best compensation package to our employees in the industry within Pakistan, second only to none. Take a look at our comprehensive list of benefits that comes with working for us, regardless of your title and position.</div></div></div></div></div>

Job SummaryWe are seeking a skilled CCM/ACT Data Engineer with strong expertise in data ingestion, integration, and automation. The ideal candidate will have hands-on experience working with Snowflake, Databricks, SQL, and API integrations, along with experience in automated evidence gathering and regulatory/compliance data workflows.This role requires building scalable data solutions to support CCM (Continuous Controls Monitoring) and ACT (Audit &amp; Compliance Testing) initiatives.Key Responsibilities<ul><li>Design and implement scalable data ingestion and integration pipelines from multiple internal and external data sources.</li><li>Develop automated frameworks for evidence gathering to support audit and compliance requirements.</li><li>Build and optimize data workflows using Snowflake and Databricks.</li><li>Write efficient and optimized SQL queries for large-scale data processing and reporting.</li><li>Develop and manage API integrations for secure and reliable data exchange.</li><li>Perform data transformation, validation, and reconciliation processes.</li><li>Ensure data quality, security, and compliance standards are met.</li><li>Collaborate with compliance, audit, risk, and technology teams to understand CCM/ACT data requirements.</li><li>Monitor, troubleshoot, and optimize ETL/ELT jobs and workflows.</li></ul>Required Skills &amp; Qualifications<ul><li>4+ years of experience in Data Engineering or similar role.</li><li>Strong experience in Data Ingestion &amp; Integration frameworks.</li><li>Hands-on experience with Snowflake and Databricks.</li><li>Advanced proficiency in SQL.</li><li>Experience with API integration (REST/SOAP).</li><li>Knowledge of automated evidence collection processes.</li><li>Strong understanding of data governance and compliance frameworks.</li><li>Excellent problem-solving and analytical skills.</li></ul>Preferred Qualifications<ul><li>Experience in CCM (Continuous Controls Monitoring) or ACT (Audit &amp; Compliance Testing) environments.</li><li>Knowledge of cloud platforms (AWS/Azure/GCP).</li><li>Experience with workflow orchestration tools (Airflow, etc.).</li><li>Familiarity with financial services or regulated industries.</li></ul>Job Type: Full-timePay: ₹481,885.72 - ₹1,842,685.24 per yearWork Location: In person

MedReview Inc.

<div>
 
 
 
 
 Position Summary:
 
 
 
 
 
 
 
 
 The ETL Engineer is responsible for designing, developing, and maintaining data pipelines that extract, transform, and load data into analytics platforms, including SQL Server and ClickHouse for real-time and high-performance querying. This role ensures data integrity, scalability, and performance for BI, reporting, and advanced analytics.
 
 
 
 
 
 
 
 
 
 Job Responsibilities:
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 ETL Pipeline Development
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Design and implement ETL workflows using SQL Server Integration Services, Azure Data Factory, Databricks, and ClickHouse.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Develop transformations for structured and semi-structured data; optimize for speed and reliability.
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 ClickHouse Integration
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Build and maintain ingestion pipelines for ClickHouse using batch and streaming methods.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Optimize ClickHouse schemas, partitions, and materialized views for query performance.
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 Data Integration
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Connect multiple sources (SQL Server, APIs, cloud storage, Kafka/Event Hubs) into centralized data platforms.
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 Performance &amp; Optimization
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Monitor SSIS ETL jobs and SQL Server and ClickHouse queries; tune for low latency and high throughput.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Implement compression, sharding, and replication strategies in ClickHouse.
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 Data Quality &amp; Governance
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Apply validation checks, error handling, and lineage tracking.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Ensure compliance with security and governance standards.
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 Collaboration
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Work with data engineers, analysts, and BI teams to deliver reliable datasets.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Support real-time analytics and dashboards powered by PowerBI and ClickHouse.
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 Documentation
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Maintain clear documentation for ETL processes, SQL Server and ClickHouse schemas, and operational playbooks.
 
 
 
 
 </li>
 </ul>
 </li>
 </ul>
 
 
 
 
 Required Skills:
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Strong experience with ETL tools (Azure Data Factory, SSIS, Databricks).
 
 
 
 
 </li>
 <li>
 
 
 
 
 Proficiency in SQL and relational database concepts.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Familiarity with ClickHouse (schema design, ingestion, optimization).
 
 
 
 
 </li>
 <li>
 
 
 
 
 Familiarity with cloud platforms (Azure preferred).
 
 
 
 
 </li>
 <li>
 
 
 
 
 Programming skills in Python or Scala for data processing.
 
 
 
 
 </li>
 </ul>
 
 
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Experience with streaming data (Kafka, Azure Event Hubs).
 
 
 
 
 </li>
 <li>
 
 
 
 
 Familiarity with big data frameworks.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Understanding of DevOps practices for data pipelines.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Exposure to BI tools (Power BI, Tableau) integrated with ClickHouse.
 
 
 
 
 </li>
 </ul>
 
 
 
 
 Education &amp; Experience
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Bachelor&rsquo;s degree in Computer Science, Data Engineering, or related field.
 
 
 
 
 </li>
 <li>
 
 
 
 
 3+ years of experience in ETL development and data integration.
 
 
 
 
 </li>
 </ul>
 
 
 
 
 This is an On-Premises position
 
 . Monday through Thursday (9-5)
 
 and remote on Fridays only (No exceptions).
 
 
 
 
 
 &nbsp;
</div>

ELT Engineer

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