etl developer

TAWANTECH

<div>Job Summary
We are seeking an ETL Developer to design, develop, and maintain enterprise data integration solutions supporting banking operations, reporting, analytics, and regulatory requirements.
Key Responsibilities
Develop and maintain ETL workflows using Informatica PowerCenter and/or IBM DataStage.
Extract, transform, and load data from multiple banking systems.
Support Data Warehouse and Data Lake initiatives.
Optimize ETL performance and ensure data quality.
Troubleshoot and resolve data integration issues.
Collaborate with business and data teams to define data requirements.
Support regulatory and management reporting processes. 
Requirements 
4+ years of ETL development experience.
Strong experience with Informatica PowerCenter and/or IBM DataStage.
Strong SQL and database skills.
Experience with Data Warehousing concepts.
Knowledge of data quality and data governance practices.
Experience working with Oracle, SQL Server, or other enterprise databases.
Preferred Qualifications
Banking domain experience.
Experience supporting regulatory reporting environments.
Knowledge of Data Lakes and Big Data technologies</div>

ETL Developer (Informatica / DataStage)

Arohana Tech Solutions Private Limited

<div>
 
 Job Summary
 
 
 
 We are hiring a
 
 Qlik Replicate Developer
 
 with 4&ndash;5 years of experience in implementing and supporting
 
 real-time data replication solutions
 
 . The candidate should have expertise in
 
 Qlik Replicate
 
 , database connectivity, and replication monitoring to ensure seamless enterprise data movement.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and maintain Qlik Replicate data pipelines.
 </li>
 <li>
 Implement real-time data replication and CDC solutions.
 </li>
 <li>
 Configure source-to-target database replication processes.
 </li>
 <li>
 Monitor and troubleshoot replication jobs for reliability and performance.
 </li>
 <li>
 Collaborate with technical teams to support integration requirements.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 4&ndash;5 years of experience in Qlik Replicate / Attunity.
 </li>
 <li>
 Experience in data replication and CDC implementation.
 </li>
 <li>
 Strong knowledge of SQL and relational databases.
 </li>
 <li>
 Understanding of data integration and ETL concepts.
 </li>
 <li>
 Strong debugging and problem-solving skills.
 
 
 </li>
 </ul>
 Top 5 Must-Have Skills
 
 
 <ul>
 <li>
 Qlik Replicate (Attunity)
 </li>
 <li>
 CDC (Change Data Capture)
 </li>
 <li>
 SQL &amp; Database Management
 </li>
 <li>
 Data Replication
 </li>
 <li>
 Troubleshooting &amp; Performance Monitoring
 
 
 </li>
 </ul>
 Skills: qlik replicate (attunity),cdc (change data capture),data replication,sql &amp; database management,troubleshooting &amp; performance monitoring
</div>

Developer

<div>Job description:<ul><li>Excellent analytical, organizational, and problem-solving and skills</li><li>Has mature written and verbal communication skills, as well as presentation skills.</li><li>Able to communicate to multiple levels of the organization, including stakeholders and third-party vendors, via phone, email, and chat.</li><li>Ability to work independently and collaborate with others at all levels of technical understanding</li><li>A to handle multiple concurrent projects, with an ability to prioritize and manage projects effectively.</li><li>Self-motivated and dedicated with the ability to triage and prioritize technical issues, work with service providers and team members to problem resolution</li><li>Ability to plan and carry out responsibilities with minimal direction</li><li>Ability to mentor others, including peers and application developers, clearly explain complex technical issues to business analysts and end users</li><li>Ability to quickly learn new systems and business processes and adapt to changing technology and priorities</li><li>Experience in coordinating with data stewards and analysts to understand business requirements, functional requirements, and conversion of business rules into technical specifications</li><li>Experience in Analysis, Design, Development, Implementation, Testing and Support of Data Warehousing and Data Integration Solutions and ETL data pipelines</li><li>Experience in various programming languages like Java and Python, orchestration tools and processes or other directly related experience.</li><li>Hands on experience in database and table design, proficient in writing complex SQLs, expertise in performance tuning of SQLs.</li><li>Excellent knowledge of the Informatica platform as a whole and the integration among different Informatica components and services.</li><li>Good experience in end-to-end implementation of DW &amp; BI projects, especially in data warehouse and mart developments.</li><li>Experience in Relational Modeling, Dimensional Modeling, Modeling of Unstructured Data and business process relationships.</li><li>Good understanding of Data integration, Data quality paradigms and data governance/ data architecture concepts.</li><li>Working knowledge in handling various web services and APIs (Soap, REST).</li><li>Working experience on Informatica Cloud Services (IDMC) development; Cloud Data Integration (CDI), Cloud Application Integration (CAI), Cloud Data Quality CDQ and CDGC.</li><li>Experience in ETL design and development using Informatica PowerCenter, Data Quality, and Data Engineering using various transformations, and ETL design/development methodologies.</li><li>Experience developing profiles and scripts for the execution and testing of mappings and workflows to implement data stewardship and exception processing.</li><li>Full lifecycle project experience as a developer in designing and developing ETL jobs.</li><li>Knowledge of UNIX/Linux shell scripting, scheduling and orchestration tools and processes.</li><li>Good understanding of XML/Json structures.</li><li>Experience working in Agile framework and project management methodologies</li><li>Knowledge of data analysis in AWS environment (Athena, Redshift, S3, Sagemaker, EMR) is a plus</li><li>Knowledge of Python libraries (Pandas, Numpy, Plotly, Pyspark, Sklearn) is a plus</li><li>Azure platform (Data Factory/Synapse/etc.) is a plus.</li><li>Experience working with Power BI in data analytics space is a plus.</li><li>Experience with Big data technologies is a plus.</li></ul> 

Additional Requirements: 
Hands-on experience with cloud platforms such as AWS, Azure, or GCP; any cloud certification is a plus.
Databricks or Snowflake is highly recommended. 
Working knowledge of Apache Spark / PySpark CI/CD practices and Git/GitHub version control Azure platform expanded to: Data Factory, Synapse Analytics, Azure Data Lake Storage, Azure Databricks</div>

Data Management Senior Engineer II

Mindex

<div>With more than 30 years of success, Mindex is a software development and cloud services company known for delivering innovative solutions. We've built products like SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up, giving us deep expertise in developing and scaling modern software.
Named the #1 Software Developer in the 2025 RBJ Book of Lists and ranked #80 in the Rochester Chamber Top 100, we're passionate about helping our clients succeed and creating opportunities for our team to grow and make an impact. 
 
We are looking for a Data Engineer who enjoys solving complex problems and building scalable data solutions. This person will play a key role in designing, developing, and optimizing data platforms that support analytics, reporting, machine learning, AI initiatives, and other data-driven business needs.
The ideal candidate is comfortable working on new projects, contributing to technical architecture decisions, and collaborating with cross-functional teams to deliver end-to-end solutions. Strong communication skills are important, as you'll need to explain technical concepts to both technical and non-technical audiences and work closely with clients, stakeholders, and team members. 
Essential Functions:
<ul><li>Assemble large, complex data sets that meet business requirements through extraction, transformation, and loading of data from a wide variety of data sources.</li><li>
Provide operational support and troubleshooting for existing processes and systems.</li><li>
Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests in preparation for future project activities.</li><li>
Deliver automation &amp; efficient processes to ensure high quality throughput &amp; performance of the entire data &amp; analytics platform.</li><li>
Ensure data extraction, transformation and loading data meet data security &amp; compliance requirements.</li><li>
Engage with data source platform leads to gain tactical and strategic understanding of data sources required by Agency Data Services AI/ML as well as Data Office standards.</li><li>
Create data tools for data scientist team members that assist them in building and optimizing models.</li></ul> 

Requirements 
<ul><li>
BS degree in Computer Science, Data Science, Engineering, or equivalent software/services experience required.</li><li>
4+ years working with SQL, Snowflake, Databricks, Spark, and other big data technologies; 4+ years using Python, SQL, PySpark, R, or similar languages and manipulating, processing, and extracting value from large, disconnected data sets.</li><li>
4+ years building and optimizing data pipelines, architectures, and data sets to answer business questions and identify opportunities for improvement</li><li>
2+ years supporting large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB.</li><li>
2+ years addressing privacy, compliance, and security aspects of data storage and processing; and delivering data solutions in Agile environments.</li><li>
2+ years with software development and CI/CD methodologies and tools for automated infrastructure code and MLOps and designing, implementing, and maintaining automation platforms and tools, including Ansible Tower, Azure, ARM, Terraform Enterprise, Azure DevOps, and GitHub Actions.</li><li>
2+ years with Salesforce FSC and Salesforce Data Cloud.</li></ul> 
Skills &amp; Competencies:<ul><li>
Strong communication and problem-solving skills.</li><li>
Troubleshooting expertise.</li><li>
Proficiency in Python, SQL.</li><li>
Experience with Extract, Transform, Load (ETL) processes.</li><li>
Experience building data pipelines.</li><li>
Experience with Apache Spark and Apache Hadoop.</li><li>
Experience with Amazon Web Services.</li></ul> 

Benefits 
<ul><li>
Health insurance</li><li>
Paid holidays</li><li>
Flexible time off</li><li>
401k retirement savings plan and company match with pre-tax and ROTH options</li><li>
Dental insurance</li><li>
Vision insurance</li><li>
Employer paid disability insurance</li><li>
Life insurance and AD&amp;D insurance</li><li>
Employee assistance program</li><li>
Flexible spending accounts</li><li>
Health savings account with employer contributions</li><li>
Accident, critical illness, hospital indemnity, and legal assistance</li><li>
Adoption assistance</li><li>
Domestic partner coverage</li></ul> 
The salary range for this role reflects a wide range of factors including skill set, experience, training, and internal equity. It is not typical for individuals to be hired at the top of the range.
The salary range is $90,000 - $140,000.
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor, or take over, sponsorship of an employment Visa at this time.</div>

Data Engineer - Remote

<div><div>Responsibilities: 
<ul><li>Design, implement, and optimize data pipelines for batch and real-time data processing using Cloudera (Hadoop, Hive, Spark, Impala) and Informatica (PowerCenter, Cloud Data Integration)</li><li>Build data extraction, transformation, and loading (ETL) workflows using Informatica PowerCenter for large-scale data integration from source systems (e.g., relational databases, flat files, APIs) into Cloudera Data Lake or data warehouse environments.</li><li>Implement Spark jobs on Cloudera for distributed data processing and optimization of data workflows.</li><li>Leverage Informatica for orchestrating ETL workflows, including data extraction, cleansing, transformation, and loading into data repositories (HDFS, Hive, SQL databases, etc.).</li><li>Optimize the Informatica workflows to minimize runtime, ensure smooth data integration, and maintain high data quality.</li><li>Utilize Hadoop and Spark on Cloudera to process large datasets and implement data transformations using MapReduce, Spark SQL, and PySpark.</li><li>Leverage Impala for low-latency SQL queries on Hadoop, ensuring real-time access to processed data.</li><li>Implement partitioning, bucketing, and indexing strategies in Hive and HBase to improve query performance on large datasets.</li><li>Implement and enforce data quality rules within Informatica workflows, ensuring that all transformations meet the required standards for completeness, consistency, and accuracy.</li><li>Ensure compliance with data governance and security protocols (e.g., encryption, masking, access control) in accordance with industry best practices.</li><li>Automation and Scheduling: Automate ETL workflows using Informatica Server, integrating with Airflow, Nifi or other workflow orchestration tools for scheduling and monitoring jobs.</li><li>Utilize Cloudera Navigator for monitoring and auditing data processes within the Hadoop ecosystem.</li><li>Perform regular tuning of the ETL pipelines, data flows, and SQL queries to ensure optimal performance.
</li></ul></div><div>Qualifications: 
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.</li><li>6+ years of experience in the same field.</li><li>Proven experience with the Cloudera Distribution of Hadoop (CDH), including expertise in HDFS, Hive, Impala, Spark, and HBase.</li><li>Strong hands-on experience with Informatica PowerCenter (ETL), EDC, IDQ, B2B, and Axon.</li><li>Deep understanding of ETL best practices, data pipelines, and distributed computing technologies such as Spark, MapReduce, PySpark, and Hadoop ecosystem components.</li><li>Advanced SQL skills for data manipulation, aggregation, optimization, and reporting across relational and non-relational data stores (e.g., SQL Server, MySQL, PostgreSQL, Hive, Impala).</li><li>Experience in Python and SQL.</li><li>Strong background in data warehousing principles and data modeling, including dimensional modeling (star schema, snowflake schema) and OLAP/OLTP considerations.</li></ul></div></div>

Senior Big Data Engineer

Cognizant

Job Title - DataBricks Data engineer ** Unfortunately no visa transfer /sponsorship available** Job Description: We are seeking a highly skilled Lead Data Engineer with deep expertise in Databricks SQL, PySpark, and modern cloud data platforms. The ideal candidate will have hands-on experience delivering cloud modernization and migration initiatives, along with the ability to design and optimize scalable data architectures that support analytics, data engineering, and enterprise-scale processing. This role involves handling the Databricks to Pyspark Migration design, guiding engineering teams, and ensuring data solutions meet performance, security, and governance standards. Key Responsibilities : Design and implement scalable, high‑performance data migrations using Databricks Lakehouse, Delta Lake, and distributed processing frameworks.
 
Develop, optimize, and productionize Databricks SQL and PySpark pipelines supporting large-scale ETL, streaming, and advanced analytics workloads. Lead end-to-end architecture for cloud modernization and migration projects, ensuring best practices in scalability, performance, governance, and cost efficiency. Collaborate with business partners, product owners, and engineering teams to convert business requirements into robust technical solutions. Provide technical leadership and mentorship to data engineers and developers, ensuring adherence to coding, design, and architectural standards.
 
Review and improve solution designs, ensuring alignment with enterprise governance, security, and compliance frameworks. Support production deployments, troubleshooting, and performance tuning of data workflows running on Databricks and cloud-native platforms. Drive continuous improvement and adoption of emerging technologies, tools, and best practices within the data engineering ecosystem. Required Technical Skills: Strong hands-on expertise with Databricks SQL Advanced development experience with PySpark for ETL and data processing good understanding of cloud-native data platforms (AWS, Azure, or GCP) strong foundation in data modeling, performance optimization, and governance Preferred Skills: Experience with AWS data services (Glue, S3, Lambda, Lakehouse technologies) Exposure to Iceberg/Delta Lake, data quality frameworks, and data cataloging Strong communication skills and ability to work with global teams

DataBricks Data engineer

PROLIM GLOBAL CORPORATION

PROLIM Global Corporation is hiring a Informatica PowerCenter/IICS - Senior Data Engineer for a leading global technology client.Title: Informatica PowerCenter/IICS - Senior Data EngineerLocation: Austin, TX (Hybrid) 3 Days Onsite (Tue/Wed/Fri)Summary: We are looking for a highly experienced Data Engineer / Systems Analyst with strong expertise in Informatica PowerCenter/IICS, Snowflake, Oracle, SQL Server, and Healthcare Data Analytics environments.Required Skills: 8+ Years Informatica PowerCenter or IICS 8+ Years Snowflake SQL Development ETL Workflow &amp; Mapping Development Oracle &amp; SQL Server Integration Tableau Backend/Data Integration Experience Data Warehousing &amp; Dimensional Modeling Agile/Scrum Environment Strong SQL Performance Optimization Technical Documentation &amp; System AnalysisPreferred Skills: Healthcare / HHS Experience PHI / PII Data Handling Python Scripting GitHub &amp; Git Actions REST/SOAP Web Services Mulesoft Snowflake Cortex / Informatica Claire JIRAPlease Note:&middot; Candidates MUST already reside in Texas&middot; No relocation candidates&middot; No remote-only candidatesApply now for immediate consideration. Send your updated resume and contact details to:About PROLIM CorporationPROLIM is a leading provider of end-to-end IT, PLM and Engineering Services and Solutions for Global 1000 companies. They understand business as much as technology and help their customers improve their profitability and efficiency by providing high value technology consulting, staffing, and project management outsourcing services.Their IT and PLM consulting offerings include; Advisory, PLM Software/Services, Program Management, Solution Architecture Training/Staffing, Cloud Solutions, Servers/Networking, Infrastructure, ERP Practices and QA Services. Engineering services include Data Translation, CAD/CAM/CAE, Process &amp; Product Engineering, Prototyping, and Testing/Validation within a wide range of markets and industries.Pay: $121,769.42 - $146,647.05 per yearBenefits:<ul><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Work Location: Hybrid remote in Austin, TX 78789

Informatica PowerCenter/IICS - Senior Data Engineer

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