data integration engineer

EPAM Systems

<div><p>We are seeking an accomplished and visionary <b>Lead Data Integration Engineer</b> to drive the strategy, architecture, and execution of our data integration initiatives.</p><p>
In this pivotal role, you will lead the design, development, and optimization of scalable, high-performance data engineering solutions, ensuring seamless data flow across the organization. You will mentor a team of engineers, collaborate with cross-functional stakeholders, and champion best practices to build a robust and future-ready data ecosystem.</p><p><b>
Responsibilities</b></p><ul><li>
Lead the end-to-end design, development, and optimization of robust, scalable, and reusable ETL/ELT solutions to meet evolving business and analytical needs</li><li>
Architect and oversee the automation of data extraction, transformation, and loading processes across diverse sources and destinations</li><li>
Guide the development and optimization of data pipelines for both structured and unstructured data in modern cloud environments</li><li>
Mentor and provide technical leadership to data integration engineers, fostering a culture of innovation, collaboration, and continuous improvement</li><li>
Partner with engineering, analytics, and business teams to define data integration strategies and ensure alignment with organizational goals</li><li>
Establish and enforce best practices for data ingestion, transformation, provisioning, and data quality</li><li>
Evaluate and recommend new tools, technologies, and methodologies to enhance the data integration landscape</li><li>
Ensure the scalability, reliability, and security of data workflows and pipelines</li><li>
Drive initiatives to improve data architecture, performance optimization, and pipeline scalability</li></ul><p><b>
Requirements</b></p><ul><li>
5+ years of experience in data integration, data engineering, or data warehousing, with at least 1-2 years in a technical leadership or lead role</li><li>
Experience with Databricks for unified data analytics and processing</li><li>
Advanced proficiency in Python and PySpark for data engineering and automation</li><li>
Proven experience architecting and implementing complex ETL/ELT pipelines</li><li>
Deep hands-on experience with SQL/NoSQL databases for data processing and advanced querying</li><li>
Strong expertise with orchestration tools such as Apache Airflow</li><li>
In-depth knowledge of cloud data warehousing solutions (e.g., Snowflake, Azure, AWS)</li><li>
Demonstrated ability to design scalable, high-performance data architectures and optimize data workflows</li><li>
Excellent leadership, team collaboration, and communication skills</li><li>
Proactive, strategic mindset with a focus on delivering high-quality, timely solutions</li><li>
B2+ English proficiency</li></ul><p><b>
Nice to have</b></p><ul><li>
Background in integrating diverse data sources across multiple cloud platforms</li><li>
Familiarity with additional scripting languages to enhance automation and integration</li><li>
Experience with advanced data management, modeling techniques, and data governance</li></ul><p><b>
We offer</b></p><ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee, and snacks</li><li>
Well-being events</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul><p><i>
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.</i></p></div>

Lead Data Integration Engineer

<div><p>We are seeking a passionate and experienced <b>Senior Data Integration Engineer </b>to lead the design, development, and optimization of scalable and efficient data engineering solutions. This position involves managing complex data systems, enhancing data workflows, and collaborating across teams to foster a strong data ecosystem.</p><p>
If you are a results-oriented professional with deep knowledge of modern data integration tools and a talent for creating impactful solutions, we encourage you to apply.</p><p><b>
Responsibilities</b></p><ul><li>
Design, develop, and maintain robust, scalable, and reusable ETL/ELT solutions to meet business and analytical needs</li><li>
Automate data extraction, transformation, and loading processes for various sources and destinations</li><li>
Build and optimize data pipelines for managing structured and unstructured data in modern cloud environments</li><li>
Collaborate with engineers, analysts, and stakeholders to promote effective data integration and workflow processes</li><li>
Leverage best practices to deliver reliable and quality engineering solutions for data ingestion, transformation, and provisioning</li></ul><p><b>
Requirements</b></p><ul><li>
3+ years of experience in data integration and data warehousing</li><li>
Proficiency in Python and PySpark for data engineering tasks</li><li>
Familiarity with Databricks for unified data analytics and processing</li><li>
Strong knowledge of designing and implementing ETL/ELT pipelines</li><li>
Experience with SQL/NoSQL databases for data processing and querying</li><li>
Familiarity with orchestration tools including Apache Airflow</li><li>
Expertise in Snowflake or comparable cloud solutions such as Azure or AWS for data warehousing and storage</li><li>
Understanding of modern data engineering tools and concepts, encompassing performance optimization, data architecture, and pipeline scalability</li><li>
Strong communication and teamwork skills coupled with a proactive and delivery-focused approach</li><li>
English level of minimum B2 (Upper-Intermediate) for effective communication</li></ul><p><b>
Nice to have</b></p><ul><li>
Showcase of Databricks usage for unified data analytics and processing</li><li>
Background in integrating diverse data sources across modern cloud platforms</li><li>
Familiarity with additional scripting languages to enhance automation and integration tasks</li><li>
Proficiency in advanced data management and modeling techniques</li></ul><p><b>
We offer</b></p><ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee, and snacks</li><li>
Well-being events</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul><p><i>
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.</i></p></div>

Senior Data Integration Engineer

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader"><b>Informatica DEI Engineer</b></h2><p><b>
Location:</b> Remote (UAE Time Zone)<br>
<b>Experience:</b> 5+ Years<br>
<b>Availability:</b> Immediate joiners or candidates who can start within 30 days preferred</p><h3 class="jobSectionHeader"><b><br>
Role Overview</b></h3><p>
We are looking for an experienced <b>Informatica DEI Engineer</b> to design, build, and optimize large-scale data integration pipelines across batch and streaming workloads within the Informatica DEI and Cloudera ecosystem.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li><p>
Design, build, test, and deploy <b>data integration mappings and workflows</b> in Informatica DEI.</p></li><li><p>
Integrate <b>Informatica DEI</b> with Cloudera clusters, ensuring <b>security, performance, and connectivity</b>.</p></li><li><p>
Monitor and support <b>operational jobs</b>, troubleshoot failures, and implement corrective actions.</p></li><li><p>
Tune data job performance: <b>optimize mappings, sessions, and resource usage</b>.</p></li><li><p>
Implement and maintain <b>data quality frameworks</b> and integration with data platforms.</p></li><li><p>
Collaborate with DevOps to build <b>CI/CD pipelines</b> and automate environment deployments.</p></li><li><p>
Maintain <b>documentation, runbooks, and standards</b> for DEI operations.</p></li><li><p>
Drive <b>incident management, root cause analysis</b>, and performance improvement initiatives.</p></li></ul><h3 class="jobSectionHeader"><b>
Requirements</b></h3><ul><li><p>
5+ years of hands-on experience in <b>Informatica DEI (Data Engineering Integration)</b>.</p></li><li><p>
Expertise in <b>ETL design, data transformation, and performance optimization</b>.</p></li><li><p>
Experience integrating <b>Informatica DEI with Hadoop/Cloudera environments</b>.</p></li><li><p>
Familiarity with <b>data quality, automation, and CI/CD practices</b>.</p></li><li><p>
Excellent problem-solving and collaboration skills.</p></li></ul><p>
</p><p>eWmccHA0cv</p></div>

Informatica DEI Engineer

Ananta Services 

<p>We&rsquo;re looking for a strong Data Engineer who can build end-to-end scalable data pipelines, automate data flows, and enable robust analytics foundations across enterprise scale data platforms.</p><p>Experience Range: 10+ Years</p><p>Work Mode : Hybrid (2 - WFO, 3 - WFH)</p><p>Immediate Joiners Preferred</p><p>Contract Position: 12 Months and Rolling</p><p>What You Will Work On</p><p>&middot; Design and build ingestion, transformation &amp; integration pipelines across cloud platforms (AWS / GCP)</p><p>&middot; Work with cross functional squads alongside BAs, SMEs, Data Analysts &amp; Engineers to drive project outcomes</p><p>&middot; Build data structures, storage layers, integration patterns, and automated verification for quality / reconciliation</p><p>&middot; Contribute to data mesh-oriented architecture and high-scale data product development</p><p>&middot; Optimize pipelines for performance, resilience, reliability &amp; automation</p><p>Technical Skillset Required</p><p>&middot; Strong programming experience (Python / Java / Scala)</p><p>&middot; Experience with AWS / GCP native services (Lambda, Cloud Run, Cloud Storage, BigQuery, Vertex AI etc.)</p><p>&middot; Experience with DBT &amp; modern data ELT/ETL frameworks</p><p>&middot; Strong data modelling, data flow engineering &amp; automation capability</p><p>&middot; Experience designing scalable, fault tolerant, high quality data pipelines</p><p>&middot; Understanding of Data Privacy / Data AI Risk / Agile practices</p><p>Soft Skills</p><p>&middot; Critical Thinking</p><p>&middot; Problem Solving</p><p>&middot; Communication &amp; Collaboration</p><p>&middot; Planning &amp; Prioritization</p><p>Job Type: Full-time</p><p>Pay: &#8377;2,500,000.00 - &#8377;3,500,000.00 per year</p><p>Work Location: In person</p>

Data Engineer

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Junior Data Management Engineer for one of our partners, a global leader in the IT Services and IT Consulting.
<br><br>
<b>Job Summary:</b><br>
We are looking for a Junior Data Management Engineer with strong experience in data architecture, integration, and transformation, particularly with Informatica. The ideal candidate will be responsible for designing and implementing end-to-end data solutions that enable data accessibility, quality, and governance across the enterprise.
<br>You will work closely with cross-functional teams to understand business requirements and translate them into scalable, reliable, and secure data systems.
<br><br>
<b>Responsibilities:</b><br>
<ul>
<li>Design, build, and maintain data pipelines and ETL processes using Informatica</li>
<li>Develop and optimize data integration workflows for structured and unstructured data</li>
<li>Ensure data quality, consistency, and security across platforms</li>
<li>Collaborate with business analysts, data architects, and developers to align data solutions with business needs</li>
<li>Maintain documentation of data flows, processes, and systems</li>
<li>Troubleshoot and resolve data-related issues and performance bottlenecks</li>
<li>Participate in data modeling and architecture discussions</li>
</ul>
<b>Requirements:</b><br>
<ul>
<li>Bachelor's degree in Computer Science, Information Systems, or related field</li>
<li>1+ years of experience in data engineering or data management roles</li>
<li>Strong hands-on experience with Informatica (PowerCenter, IDQ, or Cloud Data Integration)</li>
<li>Proficiency in SQL and experience working with relational databases (Oracle, SQL Server, etc.)</li>
<li>Solid understanding of data warehousing concepts and architecture</li>
<li>Experience with data governance and metadata managemen</li>
<li>Familiarity with cloud data platforms (e.g., AWS, Azure, GCP) is a plus</li>
<li>Excellent communication skills in English (Very Good Level)</li>
</ul>


Junior Data Management Engineer

The Modern Data Company

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div>10/31/2025
</div></div><div><p>Industry</p>
<div>Software Product
</div></div><div><p>Job Type</p>
<div>Full time
</div></div><div><p>City</p>
<div>Hyderabad
</div></div><div><p>State/Province</p>
<div>Telangana
</div></div><div><p>Country</p>
<div>India
</div></div><div><p>Zip/Postal Code</p>
<div>500081
</div></div></ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><p>The Modern Data Company is redefining data management for the AI era, transforming data from a technical challenge into a company&rsquo;s most powerful business asset. Modern's DataOS platform is the world's first operating system for data, providing a breakthrough layer that integrates with any data stack, no rip and replace.</p><p><br>
Fortune 1000+ enterprises use DataOS to scale AI and solve mission-critical data challenges. With DataOS, enterprises are accelerating AI adoption by up to 90% while reducing data consumption and platform costs by 50%. Modern&rsquo;s rapidly expanding customer base includes global category leaders across a wide range of global industries. They trust DataOS to power their AI and business transformation.</p><br>
<div></div>
</div><p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><div>About the role:</div><div></div><div><br>
Role Overview: The Data Engineer is responsible for building and maintaining data infrastructure that enables organizations to store, process, and analyze large volumes of data. This role focuses on developing robust batch and streaming data pipelines to create data products, derive insights, and support analytics initiatives. The engineer plays a crucial part in ensuring data systems are reliable, efficient, and scalable, which in turn supports the business&rsquo;s ability to make data-driven decisions. This is a client-facing role, requiring strong communication skills to interact with clients regularly and translate business requirements into effective technical solutions.</div><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><div>
Key Responsibilities:</div><br>
<div></div>
Design and Develop Data Pipelines: Create, test, and maintain end-to-end data pipelines for batch processing as well as real-time streaming and event-driven data flows. Ensure these pipelines are robust and efficient. Enabling seamless integration of data from multiple sources into centralized systems, wherever required.<br>
<ul><li>
</li>
Ensure Data Quality and Reliability: Implement data quality checks, validation rules, and monitoring on pipelines to guarantee high integrity of data. Automate workflows where possible to enhance reliability, and promptly troubleshoot any issues to minimize downtime.<br>
<li>
</li>
Ensure Data Quality and Reliability: Implement data quality checks, validation rules, and monitoring on pipelines to guarantee high integrity of data. Automate workflows where possible to enhance reliability, and promptly troubleshoot any issues to minimize downtime.<br>
<li>
</li>
Collaborate with Stakeholders: Work closely with data analysts, data scientists, and other engineering team members to understand data needs and ensure the platform meets business requirements. Liaise with client teams regularly to gather requirements and present data solutions that address their problems.<br>
<li>
</li><li>
Data Infrastructure Management: Support the underlying data infrastructure (e.g., databases, cloud storage, processing frameworks) to ensure high availability and optimal performance of data systems. Uphold best practices in data security and governance to protect sensitive information and comply with relevant policies.<br>
<br>
Required Skills and Qualifications:<br>
</li>
Strong SQL and Python skills: Proficiency in SQL for data querying and transformation, and expertise in Python for scripting and automation of data tasks. Ability to write clean, efficient code to handle data processing at scale.<br>
<li>
</li>
Experience with Data Pipelines: Hands-on experience building or maintaining ETL/ELT processes and data pipelines. Familiarity with both batch processing and streaming data architectures (e.g., using messaging or streaming platforms) is highly desirable.<br>
<li>
</li>
API Integration: Experience working with APIs to fetch or send data. Comfort in integrating third-party data sources or services via RESTful APIs, including authentication and data format handling.<br>
<li>
</li>
Knowledge of Data Systems: Familiarity with data storage and processing technologies such as relational databases, data warehouses, or big data tools. Exposure to cloud data platforms (AWS, Azure, GCP) and modern data integration tools is a plus.<br>
<li>
</li>
Problem-Solving and Communication: Strong analytical thinking to solve data-related problems. Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders and clients. Experience in a client-facing or consulting environment is beneficial, as this role involves regular client interaction, is a plus.<br>
<li>
</li><li>
Education: Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). A solid foundation in data structures, algorithms, and software engineering principles is expected.</li></ul></div></div></div><p></p>

BRISKWIN IT SOLUTIONS

<div><div><div>Exp: 6-9yrs</div>
<div><b>Work location : Pune/Chennai/Mumbai/Noida/Coim</b><b>batore/Bangalore</b><br>
<b>Work Mode: Hybrid</b></div>
<div>Notice Period : Imm &ndash; 30 days</div>
<div></div><div><b>Mandatory skills : SSIS + MongoDB + SQL</b><p></p><b>
</b><p><b>
Job Title: Data Engineer Experience: 5+ years</b></p></div>
<div>
Job Description: We are looking for an experienced Data Engineer with strong expertise in building and managing data pipelines, integrating diverse data sources, and ensuring high data quality and performance. The ideal candidate will have hands-on experience with both structured and unstructured data systems.</div>
<div>Key Responsibilities: &bull; Design, develop, and maintain scalable ETL/ELT pipelines. &bull; Work with stakeholders to understand data requirements and deliver reliable solutions. &bull; Integrate data from various sources including SQL Server and MongoDB. &bull; Optimize data workflows and ensure data integrity and security. Must-Have Skills: &bull; 5+ years of experience in data engineering or related roles. &bull; Strong proficiency in SQL and MongoDB. &bull; Hands-on experience with SSIS (SQL Server Integration Services). &bull; Solid understanding of data modeling, ETL processes, and data warehousing. &bull; Experience with version control (Git) and working in collaborative environments.</div>
<div>Nice-to-Have: &bull; Experience with cloud platforms (Azure, AWS, or GCP). &bull; Familiarity with big data tools like Spark or Databricks. &bull; Exposure to CI/CD pipelines and DevOps practices.&rdquo;</div>
</div><div><div><div><div><b>Job Location: </b>BangaloreChennaiCoimbatoreNoidaPune</div></div></div></div></div>

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