157 Etl Tools Jobs - Page 7

Working as a developer for creating and testing applications on the Opentext Infoarchive tool; to work with the sql server management studio working as a developer for creating and testing applications on the Opentext Infoarchive toolRole & responsibilities

Perform ETL testing to verify data extraction, transformation, loading Validate data movement across systems, ensuring data consistency, quality Write complex SQL queries to validate data source, target Conduct data reconciliation, data profiling Required Candidate profile Collaborate with all Create and maintain test cases, test plans, and test reports Identify, log, and track defects and data issues Work with various DB systems (Oracle, SQL Server, PostgreSQL, etc.) Perks and benefits Perks and Benefits

Responsibilities : - Design, develop, and maintain scalable and efficient ETL/ELT pipelines using appropriate tools and technologies. - Develop and optimize complex SQL queries for data extraction, transformation, and loading. - Implement data quality checks and validation processes to ensure data integrity. - Automate data pipelines and workflows for efficient data processing. - Integrate data from diverse sources, including databases, APIs, and flat files. - Manage and maintain data warehouses and data lakes. - Implement data modeling and schema design. - Ensure data security and compliance with relevant regulations. - Provide data support for BI and reporting tools (Microstrategy, PowerBI, Tableau, Jaspersoft, etc.). - Collaborate with BI developers to ensure data availability and accuracy. - Optimize data queries and performance for reporting applications. - Provide technical guidance and mentorship to junior data engineers. - Lead code reviews and ensure adherence to coding standards and best practices. - Contribute to the development of technical documentation and knowledge sharing. - Design and implement data solutions on cloud platforms (AWS preferred). - Utilize AWS data integration technologies such as Airflow and Glue. - Manage and optimize cloud-based data infrastructure. - Develop data processing applications using Python, Java, or Scala. - Implement data transformations and algorithms using programming languages. - Identify and resolve complex data-related issues. - Proactively seek opportunities to improve data processes and technologies. -Stay up-to-date with the latest data engineering trends and technologies. Requirements : Experience : - 5 to 10 years of experience in Business Intelligence and Data Engineering. - Proven experience in designing and implementing ETL/ELT processes. - Expert-level proficiency in SQL (advanced/complex queries). - Strong understanding of ETL concepts and experience with ETL/Data Integration tools (Informatica, ODI, Pentaho, etc.). - Familiarity with one or more reporting tools (Microstrategy, PowerBI, Tableau, Jaspersoft, etc.). - Knowledge of Python and cloud infrastructure (AWS preferred). - Experience with AWS data integration technologies (Airflow, Glue). - Programming experience in Java or Scala. - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. - Proven ability to take initiative and be innovative. - Ability to work independently and as part of a team. Education : - B.Tech / M.Tech / MCA (Must-Have).

Senior Data Engineer AWS (Glue, Data Warehousing, Optimization & Security) Experienced Senior Data Engineer (6+ Yrs) with deep expertise in AWS cloud Data services, particularly AWS Glue, to design, build, and optimize scalable data solutions. The ideal candidate will drive end-to-end data engineering initiatives — from ingestion to consumption — with a strong focus on data warehousing, performance optimization, self-service enablement, and data security. The candidate needs to have experience in doing consulting and troubleshooting exercise to design best-fit solutions. Key Responsibilities Consult with business and technology stakeholders to understand data requirements, troubleshoot and advise on best-fit AWS data solutions Design and implement scalable ETL pipelines using AWS Glue, handling structured and semi-structured data Architect and manage modern cloud data warehouses (e.g., Amazon Redshift, Snowflake, or equivalent) Optimize data pipelines and queries for performance, cost-efficiency, and scalability Develop solutions that enable self-service analytics for business and data science teams Implement data security, governance, and access controls Collaborate with data scientists, analysts, and business stakeholders to understand data needs Monitor, troubleshoot, and improve existing data solutions, ensuring high availability and reliability Required Skills & Experience 8+ years of experience in data engineering in AWS platform Strong hands-on experience with AWS Glue, Lambda, S3, Athena, Redshift, IAM Proven expertise in data modelling, data warehousing concepts, and SQL optimization Experience designing self-service data platforms for business users Solid understanding of data security, encryption, and access management Proficiency in Python Familiarity with DevOps practices & CI/CD Strong problem-solving Exposure to BI tools (e.g., QuickSight, Power BI, Tableau) for self-service enablement Preferred Qualifications AWS Certified Data Analytics – Specialty or Solutions Architect – Associate

Job Description: Senior Data Architect (Contract) Company : Emperen Technologies Location: India (Remote), Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Type: Contract (8 -12 Months) Role Overview :We are seeking a highly skilled and experienced Senior Data Architect to join our team on a contract basis. This role will be pivotal in designing and implementing robust data architectures, ensuring data governance, and driving data -driven insights. The ideal candidate will possess deep expertise in MS Dynamics, data lake architecture, ETL processes, data modeling, and data integration. You will collaborate closely with stakeholders to understand their data needs and translate them into scalable and efficient solutions.Responsibilities :Data Architecture Design and Development: - Design and implement comprehensive data architectures, including data lakes, data warehouses, and data integration strategies. - Develop and maintain conceptual, logical, and physical data models. - Define and enforce data standards, policies, and procedures. - Evaluate and select appropriate data technologies and tools. - Ensure scalability, performance, and security of data architectures. - MS Dynamics and Data Lake Integration : - Lead the integration of MS Dynamics with data lake environments. - Design and implement data pipelines for efficient data movement between systems. - Troubleshoot and resolve integration issues. - Optimize data flow and performance within the integrated environment.ETL and Data Integration : - Design, develop, and implement ETL processes for data extraction, transformation, and loading. - Ensure data quality and consistency throughout the integration process. - Develop and maintain data integration documentation. - Implement data validation and error handling mechanisms.Data Modeling and Data Governance : - Develop and maintain data models that align with business requirements. - Implement and enforce data governance policies and procedures. - Ensure data security and compliance with relevant regulations. - Establish and maintain data dictionaries and metadata repositories.Issue Resolution and Troubleshooting : - Proactively identify and resolve architectural issues. - Conduct root cause analysis and implement corrective actions. - Provide technical guidance and support to development teams. - Communicate issues and risks proactively.Collaboration and Communication : - Collaborate with stakeholders to understand data requirements and translate them into technical solutions. - Communicate effectively with technical and non -technical audiences. - Participate in design reviews and code reviews. - Work as good single contributor and good team player.Qualifications :Experience : - 8 -12 years of hands -on experience in data architecture and related fields. - Minimum 4 years of experience in architectural design and integration. - Experience working with cloud based data solutions. Technical Skills : - Strong expertise in MS Dynamics and data lake architecture. - Proficiency in ETL tools and techniques (e.g., Azure Data Factory, SSIS, etc.). - Expertise in data modeling techniques (e.g., dimensional modeling, relational modeling). - Strong understanding of data warehousing concepts and best practices. - Proficiency in SQL and other data query languages. - Experience with data quality assurance and data governance. - Experience with cloud platforms such as Azure or AWS.Soft Skills : - Strong analytical and problem -solving skills. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team. - Flexible and adaptable to changing priorities. - Proactive and self -motivated. - Ability to deal with ambiguity. - Open to continuous learning. - Self -confident and humble. - Intelligent, rigorous thinker who can operate successfully amongst bright people.

Role Description: The Solution Architect - SAP QM is responsible for applying business & technical expertise to design, implement and support the current business capabilities into SAP QM, related SAP modules. In this role, the candidate shall support global supply chain business team in various areas such as Supply Chain, Logistics, Shipping, Inventory Management, Production Supply, and related processes. The applicant should also have broad knowledge of SAP. The applicant should have the ability to support advanced business functions, translate complex business requirements into solution designs, and build and implement systems and technical solutions for operations. Job Requirements: Around 12+ years of experience in the SAP supply chain focused on SAP ERP design, implementation (atleast 4 end to end implementation project) and support. Business Process Knowledge of topics viz. Quality Planning, Quality inspection, Quality Control, Quality certificates, Quality Notifications, Stability Studies, Batch Management etc. Experience of integrating SAP QM with External system 3PLs like MES, Trackwise, LIMS, Labware, Lab Vantage etc., and with other SAP modules, GXP and SOX requirements Experience as Solution Architect in the multiple programs of global scale Experience in Business Blue Printing, Design, Prototyping, Functional Analysis, Configuration, Gap Analysis, Conversion, Migration, Testing, Training, Cutover, Go-Live and Post Go-live Support activities, driving Business process workshops and Fit/GAP analysis Deep Knowledge and expertise in Quality Management BPML Good experience in Data migration process and ETL Tools Domain experience in Quality Management with S/4HANA certification (preferred). Experience in Deal Pricing & Transformation Deal Estimations Should have experience of Change Management, Task Planning, Project Reporting, Resource Management, Process Improvement, Supervising. Strong relationship building skills Job Responsibilities : Establish relationships with Supply Chain (primarily Logistics, Warehouse, Shipping but also other Operations functions and Quality) and super users globally. Lead the engagement efforts at different stages from Problem definition to diagnosis to solution design, development & deployment, contribute to unit level & Organizational initiatives. Design, Build & Optimize End to End SAP Quality Management Processes for customers enterprise. Collaborate with business users in Supply Chain Dept. and other departments when needed, to gain a deep understanding of their business processes and requirements. Design, develop, and test system solutions to address business requirements, in alignment with the global solution template. Collaborate with business teams globally to gain a deep understanding of business processes, requirements and develop, test the processes to address business requirements. Develop functional specifications for custom developments and collaborate with the development team to get those built and tested.

Submit your application here : https://saarthee.keka.com/careers/jobdetails/8544 At Saarthee, we are on a mission to drive actionable insights and real-world impact through data. As a fast-growing, women-owned analytics consulting firm, we work with some of the most respected global clients, helping them solve high-impact problems through a combination of cutting-edge analytics, industry experience, and a culture of ownership and excellence. We are looking for Analytics Leads who can combine deep analytical thinking with strong project and people management skills. This is a client-facing role where youll lead complex, cross-functional data projects, work closely with global stakeholders, and act as the bridge between business strategy and data execution. The ideal candidate is hands-on, analytical, solutions-oriented, and equally comfortable managing technical teams, engaging with clients, and driving results. You will be working closely with the Founders and leadership across Saarthee's Onsite and Offshore teams, ensuring high-quality delivery and client success. Key Responsibilities Independently lead client engagements and manage global analytics delivery teams across time zones. Build and maintain strong client relationships, acting as a strategic advisor to institutionalize data-driven decision-making. Identify opportunities to create business impact through data and drive end-to-end project execution. Use project management tools to lead stakeholder discussions, track deliverables, manage risks, and ensure timely outcomes. Deliver high-quality analytics solutions including data modeling, insights generation, and actionable recommendations aligned to client KPIs. Design and implement robust analytics and reporting platforms, including tool selection (ETL, database, visualization). Consult on advanced statistical models and machine learning strategies where applicable. Guide, mentor, and grow a team of consultants; lead knowledge sharing and capability-building initiatives. Collaborate closely with internal teams for smooth project ramp-ups, analyst deployment, and quality assurance. Required Skills & Qualifications 3+ years of hands-on experience in data analytics, project management, or client engagement roles. Strong analytical background with proficiency in SQL, Tableau, Python, or similar tools. (Experience with Knime is a plus). Proven experience leading pilot projects, managing multiple workstreams, and solving open-ended business problems. Excellent communication, stakeholder management, and critical thinking skills. Ability to operate in fast-paced, ambiguous environments and deliver high-quality outcomes independently and as a team leader. What We Offer Competitive compensation packages that reward performance and ownership. Accelerated career growth in a startup environment backed by structured mentorship and leadership exposure. A collaborative and high-performance culture built on trust, empathy, and results. Exposure to global clients and strategic business challenges across industries. Comprehensive health insurance and wellness benefits. An inclusive, people-first workplace that values continuous learning, innovation, and transparency. About Saarthee: Saarthee is global analytics consulting firm unlike any other, where our passion for helping others fuels our approach and our products and solutions. We are a one-stop shop for all things data and analytics. Unlike other analytics consulting firms that are technology or platform specific, Saarthees holistic and tool agnostic approach along with ability delivery strategic actionable insights is unique in the marketplace. Our Analytics Value Chain framework meets our customers where they are in their data journey. Our diverse and global team of skilled data engineers, data analysts, and data scientists work with one objective in mind: Our Customers Success. At Saarthee, we are passionate about guiding organizations towards insights-fueled success. Thats why we call ourselves Saartheeinspired by the Sanskrit word Saarthi, which means charioteer, trusted guide, or companion. Co-founded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India. At Saarthee, we dont just solve data problems we shape careers, unlock business value, and build future-ready leaders. If you are ready to lead from the front and make an impact, wed love to hear from you.