329 Etl Tools Jobs - Page 14

Job Specification Maintenance and support of existing VB.NET applications. Maintenance and support of new and existing Python solutions Maintenance and support of new and existing scheduling and ETL solutions Support existing reports Ability to clearly communicate technical ideas to both technical stakeholders and business end users. Working with the product owner to deliver solutions with a smooth transition through to the production environment. Adhere to change management and release management procedures. Working closely with other team members and end users. Skills Required 5+ years design and support experience. Solid knowledge and experience in VB.NET, Python and JSON. Experience in PL/SQL . Comfortable with Git source control. Knowledge and experience of software engineering life cycle. Experience working with automation/scheduling tools, such as VisualCron or Control-M Experience working with ETL tools, such as Alphafuse or X-Gen Experience in the area of data warehouse and reporting solutions, such as OpenText Great attention to details and the passion to drive projects forward. Able to produce Technical documentation. Excellent time management and decision-making skills. Excellent communication skills in both English written and verbal. Good understanding of financial solution and process. Background in the financial industry preferable. Disclaimer : Unsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

We are seeking a highly skilled and tech-savvy Data Integration Engineer with hands-on experience in Adobe Workfront, Workfront Fusion, and enterprise platforms like MS Dynamics 365, Office 365, and Azure. The ideal candidate will have a strong background in data flow design, ETL processes, and API-based integrations, along with a passion for solving real-world challenges using modern technologies. Key Responsibilities Design, build, and manage scalable data flows and integration pipelines. Develop and manage automation using Adobe Workfront and Workfront Fusion. Collaborate with stakeholders to gather requirements and build data-driven solutions. Ensure data accuracy, system reliability, and workflow efficiency. Build and maintain ETL pipelines using Python and SQL. Connect and integrate systems through RESTful APIs and other interfaces. Work closely with product owners and technical teams to deliver impactful solutions. Required Skills 46 years of hands-on experience with: Adobe Workfront & Workfront Fusion Microsoft Dynamics 365, Office 365, and Azure Strong experience in: Designing and managing data flows and automated workflows Building ETL processes and using ETL tools Python and SQL scripting API connections and system integration

You as Business Technology Solutions Manager will take ownership of one or more client delivery at a cross office level encompassing the area of digital experience transformation. The successful candidate will work closely with ZS Technology leadership and be responsible for building and managing client relationships, generating new business engagements, and providing thought leadership in the Digital Area. Responsibilities - Lead the delivery process right from discovery/ POC to managing operations, across 3-4 client engagements helping to deliver world-class MDM solutions Ownership to ensure the proposed design/ architecture, deliverables meets the client expectation and solves the business problem with high degree of quality; Partner with Senior Leadership team and assist in project management responsibility i.e. Project planning, staffing management, people growth, etc.; Develop and implement master data management strategies and processes to maintain high-quality master data across the organization. Design and manage data governance frameworks, including data quality standards, policies, and procedures. Outlook for continuous improvement, innovation and provide necessary mentorship and guidance to the team; Liaison with Staffing partner, HR business partners for team building/ planning; Lead efforts for building POV on new technology or problem solving, Innovation to build firm intellectual capital: Actively lead unstructured problem solving to design and build complex solutions, tune to meet expected performance and functional requirements; Stay current with industry trends and emerging technologies in master data management and data governance. Qualification & Experience - Bachelor's/Master's degree with specialization in Computer Science, MIS, IT or other computer related disciplines; 10-14 years of relevant consulting-industry experience (Preferably Healthcare bad Life Science) working on medium-large scale MDM solution delivery engagements: 5+ years of hands-on experience on designing, implementation MDM services & capabilities using tools such as Informatica MDM, Reltio etc Strong understanding of data management principles, including data modeling, data quality, and metadata management. Strong understanding of various cloud based data management (ETL Tools) platforms such as AWS, Azure, Snowflake etc.,; Experience in designing and driving delivery of mid-large-scale solutions on Cloud platforms; Experience with ETL design and development, and (OLAP) tools to support business applications Additional Skills Ability to manage a virtual global team environment that contributes to the overall timely delivery of multiple projects; Knowledge of current data modeling, and data warehouse concepts, issues, practices, methodologies, and trends in the Business Intelligence domain; Experience with analyzing and troubleshooting the interaction between databases, operating systems, and applications; Significant supervisory, coaching and hands-on project management skills; Willingness to travel to other global offices as needed to work with client or other internal project teams.

Job Title: Senior Principal Data Engineer Location: Gurgaon Work Schedule: 12:00 PM 8:30 PM IST Job Type: Full-Time Job Summary: We are seeking an experienced Senior Principal Data Engineer with a strong background in AI/ML , Generative AI , and cloud-native architectures . This role involves leading the design and implementation of advanced data and AI solutions using AWS, mentoring technical teams, and driving innovation through emerging technologies. Key Responsibilities: Architect and design Generative AI solutions leveraging AWS services (e.g., Bedrock, S3, PGVector, Kendra, SageMaker). Collaborate with engineering teams throughout the software development lifecycle to ensure robust and scalable solutions. Lead technical decision-making and resolve complex AI/ML challenges. Conduct solution reviews and ensure alignment with best practices and security policies. Guide solution governance and secure necessary architectural approvals. Integrate emerging technologies and frameworks (e.g., LangChain) into solution designs. Deliver technical presentations, workshops, and knowledge-sharing sessions. Create and maintain architectural documentation and design specifications. Mentor junior engineers and contribute to a culture of continuous learning. Partner with data scientists and analysts to enable effective model development and deployment. Coordinate with stakeholders and clients to align data architecture with business objectives. Stay current with industry trends in AI, machine learning, data engineering, and cloud technologies. Required Qualifications: 12–15 years of experience in software development and architecture. Proven expertise in designing and delivering AI/ML and data-driven solutions. Deep understanding of AWS cloud services , especially: Bedrock SageMaker Kendra S3 PGVector Strong programming skills in Python (required), with additional experience in Java or Scala preferred. Solid foundation in data structures , algorithms , and software design patterns . Experience in building ETL/data pipelines and working with diverse data types (structured, unstructured, semi-structured). Understanding of DevOps practices and CI/CD pipelines . Familiarity with Generative AI frameworks such as LangChain . Knowledge of AI ethics , bias mitigation, and responsible AI principles. Nice to Have: Experience working with large-scale enterprise data systems. Exposure to cloud governance and architectural review boards. Certifications in AWS or AI/ML technologies.