1052 Etl Processes Jobs - Page 14

We are a technology-led healthcare solutions provider driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that's bold, industrious, and nimble. At Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. If you are seeking an exciting role in an entrepreneurial organization without the usual risks associated with it, we have an opportunity for you. We understand your desire for career growth and invite you to join us in our journey and grow with us. At Indegene, our roles offer both excitement and reliability, creating leaders of tomorrow through mentorship and guidance. As a rapidly growing global organization, we are currently seeking the best talent for this phase of growth. Working with us places you at the intersection of two dynamic industries - healthcare and technology. You will have access to global opportunities with fast-track careers while collaborating with a purpose-driven team. This combination promises a truly differentiated experience for you. We are looking for a Lead Software Engineer specializing in Adobe Analytics & Customer Journey Analytics. In this role, you will drive the development and implementation of the cross-channel analytics platform, including setup, configuration, and integration. Your contributions will be crucial in helping Indegene achieve its goal of providing flawless execution every time. Responsibilities: - Lead the development and implementation of approved Solution Designs for Adobe Customer Journey Analytics and Adobe Launch - Design and implement data connections from multiple sources into Adobe Customer Journey Analytics and Adobe Launch - Create and maintain data schemas, datasets, and connections within Adobe Customer Journey Analytics and Adobe Launch - Build and optimize Customer Journey Analytics workspaces, data views, and calculated metrics - Validate/QA data collection and configuration, conduct audits, and troubleshoot implementations - Support analyst preparation of measurement plans and collaborate to refine requirements - Collaborate with the engineering team and strategy managers to optimize implementations based on client needs - Provide strategic guidance on technology implementations and support new business with project estimates - Integrate CJA and Adobe Launch with other Adobe Experience Cloud solutions as needed - Develop governance frameworks for CJA implementation and ensure compliance - Handle other technical projects as assigned by the Engineering Manager and Account Manager Desired Profile: - Proficiency in Adobe Customer Journey Analytics, Adobe Launch, JavaScript programming, and knowledge of HTML, CSS - Minimum of 6 years of experience with Adobe Analytics and Adobe Launch; Adobe Customer Journey Analytics experience strongly preferred - Hands-on Adobe Analytics and Adobe Launch implementation experience (minimum of 2 years); Adobe certifications are a must - Expertise in cross-channel data, data schemas, and data models - Designing and implementing data connections within Adobe Launch and CJA - Experience with other Adobe solutions like Adobe Target, Adobe Campaign, or Adobe Real-Time CDP is a plus - Working knowledge of Analysis Workspace, Calculated Metrics, and Customer Journey Analytics workspaces - Familiarity with data governance, privacy compliance, data quality management, databases, SQL, and data modeling principles - Experience with ETL processes and data transformation techniques - Strong background in analytics quality assurance and technical testing methods - Ability to thrive in a deadline-driven environment and contribute to multiple projects simultaneously - Must possess a partnering and collaborative attitude - Availability for occasional travel on-site to client locations Education and Experience: - Technical background (B. Tech/BE, M.Tech, Dual Degree) or background in Digital Marketing - More than 8 years of relevant experience If this opportunity excites you, we encourage you to apply below and be a part of our dynamic team at the forefront of healthcare and technology convergence.,

The Applications Development Senior Programmer Analyst role at our organization involves your participation in the establishment and implementation of new or updated application systems and programs, in coordination with our Technology team. Your main objective will be to contribute to applications systems analysis and programming activities. Your key responsibilities will include designing, developing, and optimizing large-scale data pipelines and workflows using Big Data technologies such as Hadoop, Hive, Impala, Spark, and PySpark. You will be tasked with building and maintaining data integration solutions for processing structured and unstructured data from various sources. Additionally, you will implement and manage CI/CD pipelines to automate deployment and testing of data engineering solutions. Collaborating with cross-functional teams to understand business requirements and translating them into technical solutions will also be a part of your responsibilities. Ensuring data quality, security, and governance across all data engineering processes and monitoring/troubleshooting performance issues in data pipelines and systems will also be crucial aspects of your role. Keeping abreast of the latest trends and advancements in Big Data and data engineering technologies is essential for this position. To excel in this role, you must possess proven experience in Big Data technologies such as Hadoop, Hive, Impala, Spark, and PySpark. Strong programming skills in Python, Java, or Scala are required, along with hands-on experience in CI/CD tools like Jenkins, Git, or similar tools. Proficiency in working with relational databases, especially Oracle, is essential. A solid understanding of data modeling, ETL processes, and data warehousing concepts is also necessary. Experience with cloud platforms like AWS, Azure, or GCP is considered a plus. Strong problem-solving skills and the ability to work effectively in a fast-paced environment are important attributes for this role. Excellent communication and collaboration skills will be beneficial in working with various teams. A Bachelor's degree or equivalent experience is required for this position. Please note that this job description offers a high-level overview of the responsibilities involved, and additional job-related duties may be assigned as necessary. If you require a reasonable accommodation due to a disability to use our search tools or apply for a career opportunity, please review our Accessibility at Citi. You can also refer to Citis EEO Policy Statement and the Know Your Rights poster for further information.,

As an AI Data Analyst at Carrier Global Corporation, a global leader in intelligent climate and energy solutions, you will be responsible for analyzing and interpreting complex datasets to provide actionable insights that support business objectives in areas such as Supply Chain, Finance, or Operations. With over 5 years of experience in data management principles, data engineering, and modeling, you will play a key role in transforming raw data into actionable insights, ensuring data quality, and supporting data-driven decision-making across the organization. You will collaborate with data engineering teams to design and optimize ETL processes, build and maintain data models using industry-standard data modeling tools, develop and manage data catalogs using data catalog tools, and contribute to the design and implementation of data marketplaces and data products. Working within an Agile framework, you will participate in sprint planning, stand-ups, and retrospectives to deliver iterative data solutions and partner with business stakeholders to understand specific processes and translate requirements into data-driven solutions. To be successful in this role, you should have a Bachelor's degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field, along with 5+ years of experience as a Data Analyst or in a similar role. You should have strong experience in data management principles, proficiency in data engineering concepts, practical experience in developing and maintaining data catalogs, knowledge of data marketplaces and data products, and experience working in an Agile framework. Strong analytical skills, excellent communication skills, and the ability to work with cross-functional teams are essential for this role. Preferred qualifications include experience with cloud platforms, familiarity with BI tools for data visualization, and exposure to advanced analytics techniques. At Carrier Global Corporation, we are committed to providing a great place to work that attracts, develops, and retains the best talent, promotes employee engagement, fosters teamwork, and ultimately drives innovation for the benefit of our customers. Join us and make a difference by embracing The Carrier Way.,

As a Senior Tableau Developer at our organization, you will be an integral part of the data visualization team, leveraging your expertise in Tableau Desktop and Server to create impactful dashboards and visualizations. Your role will involve transforming complex data into actionable insights for business stakeholders through effective statistical analysis and visualization techniques. Your responsibilities will include designing, developing, and maintaining interactive Tableau dashboards that incorporate various statistical displays. You will connect to diverse data sources, perform data modeling and transformation, and create complex calculations and parameters to enable dynamic statistical analysis within Tableau. Collaboration with business stakeholders to gather requirements and translate them into meaningful visualizations will be a key aspect of your role. Furthermore, you will select and implement appropriate statistical methods and visualizations within Tableau, provide training and support to end-users on Tableau functionality, and stay updated on the latest Tableau features and best practices. Contributing to the development of data visualization standards, performing performance tuning and optimization of Tableau dashboards, as well as troubleshooting Tableau-related issues will also be part of your responsibilities. To be successful in this role, you should hold a Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field, along with at least 5 years of experience in developing Tableau dashboards with a focus on statistical data representation. Advanced proficiency in Tableau Desktop and Server, a strong understanding of statistical concepts and methods, and experience with data warehousing concepts and relational databases are essential qualifications. Additionally, excellent analytical, problem-solving, collaboration, and communication skills are required. Experience with other data visualization tools such as Power BI and Qlik Sense, as well as Tableau certification, would be advantageous. If you are passionate about leveraging data visualization to drive business insights and possess the required qualifications and skills, we encourage you to apply for this exciting opportunity.,

You are a meticulous and highly responsible Senior Data Specialist with 4-7 years of professional experience, capable of independently designing, managing, and optimizing data workflows and pipelines. Your expertise lies in databases such as PostgreSQL and MySQL, along with practical experience in modern ETL tools like Apache NiFi, Talend, or Apache Airflow. Your role demands structured work, a sense of ownership, and precise delivery in fast-paced environments. As a Senior Data Specialist, your duties and responsibilities include designing, building, and maintaining scalable ETL pipelines for both structured and unstructured data. You will work with PostgreSQL, MySQL, and other relational databases to optimize queries, schemas, and performance. Additionally, you will develop, automate, and monitor data workflows to ensure accuracy and timeliness while collaborating with engineering and product teams to translate data requirements into technical solutions. Ensuring data quality, integrity, and security across pipelines and systems is crucial, and you will troubleshoot and resolve data pipeline issues to minimize downtime. Detailed technical documentation for workflows, pipelines, and database structures must be created and maintained, and evaluating and implementing new tools/technologies to enhance data engineering practices is also part of your responsibilities. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Information Systems, or a related field, with a Master's degree being preferred but not mandatory. You must have 4-7 years of hands-on experience in data engineering, data integration, or database management, along with strong expertise in PostgreSQL, MySQL, and at least one ETL tool. Exposure to Apache NiFi, Talend, or Apache Airflow is desirable. Your ability to work independently, take ownership, and deliver results under tight timelines is essential. Key skills and knowledge required for this role include strong SQL skills for query optimization, a solid understanding of data modeling and relational database concepts, a structured and detail-oriented work approach, and the ability to design reliable, maintainable, and scalable data solutions. Excellent problem-solving and troubleshooting skills, along with strong communication skills for effective collaboration with cross-functional teams, are also necessary. In this high-responsibility role as a Senior Data Specialist, you will have significant autonomy and be the expert for data workflows on projects, contributing directly to building operational excellence in data backbone on a mission-critical project.,

You are invited to join our team as a Consultant/Developer specializing in Informatica Cloud solutions. With a minimum of 5 years" experience in IDMC, you will play a crucial role in our migration project from Informatica PowerCenter to cloud solutions. Your expertise in ETL processes and BI-oriented database modeling will be essential for the success of this project. As a Consultant/Developer, your main responsibilities will include overseeing the ETL process, ensuring smooth data integration, and application integration modules" operation. You will be tasked with monitoring, investigating, and resolving ETL incidents during night shifts, fixing and enhancing post-migration requirements, participating in Scrum ceremonies, and analyzing new requirements. Additionally, you will design and implement new ETL solutions using Informatica Cloud Data Integration, coordinate data transfer flows with partner organizations, and maintain technical documentation in Confluence. Key Requirements for this role include 5 to 7 years of experience in ETL development using Informatica IDMC and PowerCenter, proven experience in migration projects, strong problem-solving skills, independent work capabilities, excellent communication, and collaboration skills, and active participation in decision-making processes. It would be nice to have familiarity with Microsoft SQL Server, Sybase ASE, experience with Jira, and Unix. The position is based onsite in Bengaluru, requiring availability for early shifts (6:30 AM to 3:30 PM IST). The contract duration is 12 months, and immediate joiners are preferred.,

The role of Collibra Implementation & Configuration involves leading the implementation, configuration, and customization of Collibra modules such as Data Catalog, Data Governance, Data Lineage, and Data Quality. You will be responsible for configuring and maintaining Collibra workflows, business rules, and custom attributes to support data governance processes. Additionally, you will need to develop and maintain integrations with other enterprise systems to ensure seamless data governance. It is crucial to stay updated on Collibra releases and updates, implementing upgrades and patches as required. In terms of Data Governance & Collaboration, you will collaborate with data owners, stewards, and stakeholders to define and document data assets, policies, standards, and business glossaries within Collibra. You will also provide training and support to users on utilizing Collibra effectively, as well as facilitate data governance working groups and workshops to enhance data literacy and platform adoption. Monitoring and reporting on the effectiveness of data governance processes and Collibra utilization will be part of your responsibilities. For Data Lineage & Metadata Management, you will implement and maintain automated data lineage processes to track data movement and transformation. Managing metadata within Collibra to ensure accuracy, completeness, and consistency is essential. Furthermore, developing and maintaining data quality rules and monitoring processes within Collibra will be crucial. In terms of Technical Expertise & Problem Solving, you will troubleshoot and resolve technical issues related to Collibra, including performance issues and integration errors. Developing and maintaining custom solutions using Collibra API, SDK, and related technologies is also expected from you. Writing technical documentation, including configuration guides, user manuals, and API documentation, is part of the role. Identifying opportunities to enhance the efficiency and effectiveness of the Collibra platform and data governance processes will be key. Required Skills: - Education: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. - Experience: Minimum 3+ years of hands-on experience with Collibra Data Governance Center or a similar Data Governance platform. - Proven experience in implementing, configuring, and customizing Collibra modules and features. - Skills & Abilities: Strong understanding of data governance principles, Collibra architecture, and functionality. Proficiency in configuring and customizing Collibra workflows, business rules, and custom attributes. Experience with data integration, API development, and strong problem-solving skills. Preferred Qualifications: - Collibra Certification (e.g., Collibra Data Governance Center Administrator, Collibra Data Citizen). - Experience with Agile methodologies, cloud platforms (AWS, Azure, GCP), and data quality tools and techniques. The company promotes equal opportunities for all candidates.,

We are seeking a skilled Data Modeler to join our dynamic team. In this role, you will be responsible for designing and implementing data models that support our data strategy and business objectives. You will work closely with business stakeholders, data engineers, and analysts to ensure that our data is structured in a way that promotes accessibility, integrity, and usability. Experience: 9 to 13 years Location: Remote or Hybrid Requirements Key Responsibilities: Design and develop conceptual, logical, and physical data models to support business processes and requirements Collaborate with data architects, DBAs, and business analysts to ensure alignment between data models and business needs Analyze source data and define mappings for ETL processes to facilitate data integration Establish data governance standards and data quality measures to maintain data integrity Document data models, data dictionaries, and metadata for clear communication with stakeholders Provide support for data profiling, data flow analysis, and data mapping exercises Stay current with industry trends and best practices in data modeling and database design Technical Skills: Proficiency in data modeling tools (e.g., ERwin, IBM InfoSphere Data Architect, or equivalent) Strong experience with SQL and database management systems (e.g., Oracle, SQL Server, PostgreSQL) Knowledge of data warehousing concepts, ETL processes, and data integration techniques Familiarity with data visualization tools and business intelligence platforms Understanding of data governance principles and frameworks Required Qualifications: Bachelor&aposs degree in Computer Science, Data Management, Information Systems, or a related field 5+ years of experience in data modeling and database design Strong analytical and problem-solving skills with attention to detail Excellent communication skills and the ability to work collaboratively with cross-functional teams Experience in Agile methodologies is a plus Show more Show less

We are seeking a skilled Data Modeler to join our dynamic team. In this role, you will be responsible for designing and implementing data models that support our data strategy and business objectives. You will work closely with business stakeholders, data engineers, and analysts to ensure that our data is structured in a way that promotes accessibility, integrity, and usability. Experience: 9 to 13 years Location: Remote or Hybrid Requirements Key Responsibilities: Design and develop conceptual, logical, and physical data models to support business processes and requirements Collaborate with data architects, DBAs, and business analysts to ensure alignment between data models and business needs Analyze source data and define mappings for ETL processes to facilitate data integration Establish data governance standards and data quality measures to maintain data integrity Document data models, data dictionaries, and metadata for clear communication with stakeholders Provide support for data profiling, data flow analysis, and data mapping exercises Stay current with industry trends and best practices in data modeling and database design Technical Skills: Proficiency in data modeling tools (e.g., ERwin, IBM InfoSphere Data Architect, or equivalent) Strong experience with SQL and database management systems (e.g., Oracle, SQL Server, PostgreSQL) Knowledge of data warehousing concepts, ETL processes, and data integration techniques Familiarity with data visualization tools and business intelligence platforms Understanding of data governance principles and frameworks Required Qualifications: Bachelor&aposs degree in Computer Science, Data Management, Information Systems, or a related field 5+ years of experience in data modeling and database design Strong analytical and problem-solving skills with attention to detail Excellent communication skills and the ability to work collaboratively with cross-functional teams Experience in Agile methodologies is a plus Show more Show less

Business Management Analyst Position Overview J ob Title: Business Management Analyst Corporate Title: Analyst Location: Mumbai, India Role Description As a BA you are expected to design and deliver on critical senior management dashboards and analytics using tools such as Excel, SQL etc. These management packs should enable management to make timely decisions for their respective businesses and create a sound foundation for the analytics. You will need to collaborate closely with senior business managers, data engineers and stakeholders from other teams to comprehend requirements and translate them into visually pleasing dashboards and reports. You will play a crucial role in analyzing business data and generating valuable insights for other strategic ad hoc exercises. What we'll offer you As part of our flexible scheme, here are just some of the benefits that you'll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Collaborate with business user, managers to gather requirements, and comprehend business needs to design optimal solutions. Perform ad hoc data analysis as per business needs to generate reports, visualizations, and presentations helping strategic decision making. You will be responsible for sourcing information from multiple sources, build a robust data pipeline model. To be able work on large and complex data sets to produce useful insights. Perform audit checks ensuring integrity and accuracy across all spectrums before implementing findings. Ensure timely refresh to provide most updated information in dashboards/reports. Identifying opportunities for process improvements and optimization based on data insights. Communicate project status updates and recommendations. Your skills and experience Bachelor's degree in computer science, IT, Business Administration or related field Minimum of 5 years of experience in visual reporting development, including hands-on development of analytics dashboards and working with complex data sets Excellent Microsoft Office skills including advanced Excel skills. Comprehensive understanding of data visualization best practices Experience with data analysis, modeling, and ETL processes is advantageous. Excellent knowledge of database concepts and extensive hands-on experience working with SQL Strong analytical, quantitative, problem solving and organizational skills. Attention to detail and ability to coordinate multiple tasks, set priorities and meet deadlines. Excellent communication and writing skills. How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About us and our teams Please visit our company website for further information: We strive for a in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Description We are seeking experienced Oracle ASAP Developers to join our dynamic team in India. The ideal candidate will have a strong background in Oracle ASAP development, with the ability to design, implement, and maintain billing applications. This role is critical for ensuring the smooth operation of our billing systems and delivering exceptional service to our clients. Responsibilities Develop and maintain Oracle ASAP applications for billing and revenue management. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Perform system analysis, design, and development for new features and enhancements. Debug and troubleshoot issues in existing applications and provide timely resolutions. Write and maintain technical documentation for developed solutions and processes. Skills and Qualifications 5-12 years of experience in Oracle ASAP development and implementation. Strong programming skills in PL/SQL, SQL, and Oracle Database. Experience with Oracle Billing and Revenue Management solutions. Knowledge of Telecom domain and billing processes. Ability to work with various Oracle tools and technologies, including Oracle SOA Suite and Oracle WebLogic. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities.

Job Title: Data Architect (SQL Expertise) Location: NCR Region Job Type : Permanent Job Summary: As a Data Architect, you will be responsible for designing, implementing, and maintaining high-performance database systems. You will work closely with cross-functional teams to develop data solutions that meet business needs and support MMC Tech long-term data strategy. Your expertise in both SQL and NoSQL databases, along with your experience in ETL processes and cloud services, will be crucial in driving our data architecture forward. Key Responsibilities: Design and implement high-performance database configurations using Microsoft SQL Server and MongoDB. Develop and manage ETL processes with SaaS services, data lakes, and data sources such as Dremio and Databricks. Collaborate with reporting and analytics teams to integrate systems like Power BI, Qlik, and Crystal Reports. Provide strategic direction for long-term data strategy and architecture. Understand and implement AWS cloud services related to database management. Identify and implement performance fixes and scalability solutions for existing systems. Troubleshoot and resolve performance issues in database systems. Develop and maintain data schemas while ensuring compliance with ACID rules. Lead hands-on implementation of both SQL Server and MongoDB. Optimize system performance and provide recommendations for improvements. Understand and implement PaaS, SaaS, and IaaS solutions in both on-premises and cloud environments. Manage security, user roles, and access controls within database systems. Provide guidance and direction to teams on data strategy and architecture best practices. Re-engineer existing databases based on load requirements and implement performance improvements. Document database designs, ER diagrams and publish functional domain documentation. Key Skills: Microsoft SQL Server Expertise: Proficient in writing and optimizing stored procedures, triggers, and complex queries. Strong understanding of indexes and their impact on performance. Ability to analyze and optimize execution plans for query performance. Experience in high-performance schema design using both bottom-up and top-down approaches. Database Design and Performance: Expertise in re-engineering existing databases to enhance performance based on load analysis. Strong understanding of data schema design and ACID principles. Hands-on experience with SQL and NoSQL database implementations, particularly with MongoDB. Good understanding with security best practices and user management in database systems. Cloud and Integration: Good understanding of AWS cloud services related to database management. Experience with PaaS, SaaS, and IaaS concepts in both on-premises and cloud environments. Qualifications: 15-20 years of experience in data architecture, database design, and implementation. Strong experience with ETL processes and data integration using SaaS services. Proficiency in reporting and analytics tools such as Power BI, Qlik, and Crystal Reports. Strategic mindset with the ability to develop and execute long-term data strategies. Excellent communication and leadership skills, with the ability to direct teams effectively. Show more Show less

Job Summary: As a Software Engineer III at JPMorgan Chase within the Corporate and Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics. Frequently utilizes SQL and understands NoSQL databases and their niche in the marketplace Collaborate closely with cross-functional teams to develop efficient data pipelines to support various data-driven initiatives Implement best practices for data engineering, ensuring data quality, reliability, and performance Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows Perform data extraction and implement complex data transformation logic to meet business requirements Leverage advanced analytical skills to improve data pipelines and ensure data delivery is consistent across projects Monitor and executes data quality checks to proactively identify and address anomalies Ensure data availability and accuracy for analytical purposes. Identify opportunities for process automation within data engineering workflows Communicate technical concepts to both technical and non-technical stakeholders. Deploy and manage containerized applications using Kubernetes (EKS) and Amazon ECS. Implement data orchestration and workflow automation using AWS step , Event Bridge. Use Terraform for infrastructure provisioning and management, ensuring a robust and scalable data infrastructure. Required qualifications, capabilities, and skills Formal training or certification on Data Engineering concepts and 3+ years applied experience Experience across the data lifecycle. Advanced at SQL (e.g., joins and aggregations) Advanced knowledge of RDBMS like Aurora. Experience in Microservice based component using ECS or EKS Working understanding of NoSQL databases 4 + years of Data Engineering experience in building and optimizing data pipelines, architectures, and data sets ( Glue or Databricks etl) Proficiency in object-oriented and object function scripting languages (Python etc.) Experience in developing ETL process and workflows for streaming data from heterogeneous data sources Willingness and ability to learn and pick up new skillsets Experience working with modern DataLakes: Databricks ). Experience building Pipeline on AWS using Terraform and using CI/CD piplelines Preferred qualifications, capabilities, and skills Experience with data pipeline and workflow management tools (Airflow, etc.) Strong analytical and problem-solving skills, with attention to detail. Ability to work independently and collaboratively in a team environment. Good communication skills, with the ability to convey technical concepts to non-technical stakeholders. A proactive approach to learning and adapting to new technologies and methodologies.

We are seeking an experienced Data Engineer to join our team in India. The ideal candidate will have a strong background in data processing and pipeline development, with a focus on building scalable and efficient data architectures. Responsibilities Design, construct, install, and maintain large-scale processing systems and data pipelines. Develop data set processes for data modeling, mining, and production. Integrate new data management technologies and software engineering tools into existing structures. Analyze and organize raw data to ensure its quality and accuracy. Collaborate with data scientists and other stakeholders to understand and fulfill data requirements. Skills and Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5-10 years of experience in data engineering or related fields. Proficiency in programming languages such as Python, Java, or Scala. Experience with SQL and NoSQL databases (e.g., MySQL, MongoDB, Cassandra). Familiarity with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery). Knowledge of ETL (Extract, Transform, Load) processes and tools. Experience with big data technologies such as Hadoop, Spark, or Kafka. Understanding of data modeling concepts and data architecture best practices.

Description We are looking for a Senior Tableau & Qlikview Developer to join our team in India. The ideal candidate will have extensive experience in developing and implementing data visualization solutions that drive business insights. Responsibilities Design and develop interactive dashboards and reports using Tableau and Qlikview. Collaborate with cross-functional teams to gather requirements and transform them into actionable insights. Optimize existing dashboards for performance and usability. Conduct data analysis to identify trends and patterns that can inform business decisions. Provide training and support to end-users on Tableau and Qlikview tools. Ensure data integrity and accuracy in reporting. Skills and Qualifications 5-10 years of experience in Tableau and Qlikview development. Proficiency in SQL and experience with data manipulation and extraction. Strong understanding of data visualization best practices and principles. Experience with data warehousing concepts and ETL processes. Knowledge of scripting languages like Python or R is a plus. Ability to work with large datasets and perform complex data analysis. Strong problem-solving skills and attention to detail. Excellent communication skills to effectively collaborate with stakeholders.

We are an innovative technology company seeking a skilled Tableau Developer to join our team in Hyderabad Our projects involve cutting-edge data visualization and business intelligence solutions, offering a collaborative and dynamic work environment that encourages professional growth Job Responsibilities Develop and maintain Tableau dashboards and reports Design and implement data visualization solutions to meet business requirements Write clean, maintainable, and efficient code Collaborate with cross-functional teams to gather requirements and deliver solutions Optimize dashboards for maximum performance and usability Conduct code reviews to ensure coding standards are followed Stay up-to-date with the latest industry trends and technologies Requirements Proven experience as a Tableau Developer with 5+ years of relevant experience Strong proficiency in Tableau Solid understanding of SQL and data modeling Experience with data integration and ETL processes Knowledge of version control systems, preferably Git Ability to work in a fast-paced environment and manage multiple tasks efficiently Strong problem-solving skills and attention to detail

We are seeking an experienced Data Engineer to join our team in India. The ideal candidate will have a strong background in data processing and pipeline development, with a focus on building scalable and efficient data architectures. Responsibilities Design, construct, install, and maintain large-scale processing systems and data pipelines. Develop data set processes for data modeling, mining, and production. Integrate new data management technologies and software engineering tools into existing structures. Analyze and organize raw data to ensure its quality and accuracy. Collaborate with data scientists and other stakeholders to understand and fulfill data requirements. Skills and Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5-10 years of experience in data engineering or related fields. Proficiency in programming languages such as Python, Java, or Scala. Experience with SQL and NoSQL databases (e.g., MySQL, MongoDB, Cassandra). Familiarity with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery). Knowledge of ETL (Extract, Transform, Load) processes and tools. Experience with big data technologies such as Hadoop, Spark, or Kafka. Understanding of data modeling concepts and data architecture best practices.

Role & responsibilities Lead functional data migration efforts for D365 F&O implementations, including data assessment, design, mapping, transformation, and validation. Collaborate with business stakeholders, functional consultants, and technical teams to gather and analyze data requirements. Define and implement data migration strategies and processes , ensuring alignment with business requirements and project timelines. Ensure data quality, accuracy, and consistency throughout the migration lifecycle. Manage master data governance and support business teams in cleansing, validating, and reconciling migrated data. Conduct data migration workshops and stakeholder reviews to ensure smooth execution and sign-off. Lead a team of migration specialists, providing functional guidance, mentoring, and support . Work closely with cross-functional teams including finance, supply chain, and technical consultants to deliver end-to-end migration solutions . Prepare and maintain detailed documentation on data migration processes, mappings, and reconciliation activities. Identify risks, issues, and dependencies related to migration and develop mitigation plans . Preferred candidate profile 815 years of experience in data migration, ETL processes, and functional consulting within Microsoft D365 F&O. Strong knowledge of data entities, data management framework, and data migration tooling in D365 F&O. Experience in functional data mapping, reconciliation, and validation across finance and operations modules. Hands-on experience with data governance, cleansing, and transformation activities. Proven track record of leading data migration teams and end-to-end migration cycles . Strong problem-solving and stakeholder management skills with the ability to collaborate across business and technical teams. Bachelor’s degree in Computer Science, Information Technology, Finance, or a related field. Microsoft Dynamics certifications (preferred).

Role: Senior Data Engineer Job Location: Hyderabad, Indore, Ahmedabad (India) Notice Period: Immediate joiners or within 15 days preferred Primary Skills: MSSQL, Redshift, Snowflake T-SQL, LinkSQL, Stored Procedures ETL Pipeline Development Query Optimization & Indexing Schema Design & Partitioning Data Quality, SLAs, Data Refresh Source Control (Git/Bitbucket), CI/CD Data Modeling, Versioning Performance Tuning & Troubleshooting What You Will Do: Design scalable, partitioned schemas for MSSQL, Redshift, and Snowflake. Optimize complex queries, stored procedures, indexing, and performance tuning. Build and maintain robust data pipelines to ensure timely, reliable delivery of data. Own SLAs for data refreshes, ensuring reliability and consistency. Collaborate with engineers, analysts, and DevOps to align data models with product and business needs. Troubleshoot performance issues, implement proactive monitoring, and improve workflows. Enforce best practices for data security, governance, and compliance. Utilize schema migration/versioning tools for database changes. What Youll Bring: Bachelors or Masters in Computer Science, Engineering, or related field. 8+ years of experience in database engineering or backend data systems. Expertise in MySQL, Redshift, Snowflake, and schema optimization. Strong experience in writing functions, procedures, and robust SQL scripts. Proficiency with ETL processes, data modeling, and data freshness SLAs. Experience handling production performance issues and being the go-to database expert. Hands-on with Git, CI/CD pipelines, and data observability tools. Strong problem-solving, collaboration, and analytical skills.

Job Requirements Role Summary We are looking for energetic, self-motivated, and exceptional Database/ETL Tester to work on extraordinary enterprise products based on AI and Big Data engineering. He will work with star team of Architects, Data Scientists/AI Specialists, Data Engineers and Integration. Experience Level: 5+ years Responsibilities Responsible for the testing of SQL server Transactions processing & Business Intelligence solutions in an Agile Development environment. Ensure data is consistent and accurate across all layers. Independently investigate data anomalies or inaccuracy patterns to solve data problems to ensure that all data is up to date. Develop and maintain test plans and create reusable test cases. Perform data analysis and creation of test data. Perform manual and automation execution of test scripts. Analyze and document defects found during test execution using JIRA. Assist with writing and performing data audits. Requirements Work Experience Should be hands-on in testing database elements modeled with SQL Server. Experience in Azure environment (Azure SQL, ADF, Blob etc.) is preferred Strong in validating data completeness and correctness between the data feeds and data lake. Should be hands-on in DB testing with SQL scripting experience. Strong knowledge in ETL processes. Exposure to AWS is a plus (S3, RDS-MSSQL, PostgreSQL etc.) Show more Show less

Role: Senior Data Engineer Job Location: Hyderabad, Indore, Ahmedabad (India) Notice Period: Immediate joiners or within 15 days preferred Share Your Resume With: Current CTC Expected CTC Notice Period Preferred Job Location Primary Skills: MSSQL, Redshift, Snowflake T-SQL, LinkSQL, Stored Procedures ETL Pipeline Development Query Optimization & Indexing Schema Design & Partitioning Data Quality, SLAs, Data Refresh Source Control (Git/Bitbucket), CI/CD Data Modeling, Versioning Performance Tuning & Troubleshooting What You Will Do: Design scalable, partitioned schemas for MSSQL, Redshift, and Snowflake. Optimize complex queries, stored procedures, indexing, and performance tuning. Build and maintain robust data pipelines to ensure timely, reliable delivery of data. Own SLAs for data refreshes, ensuring reliability and consistency. Collaborate with engineers, analysts, and DevOps to align data models with product and business needs. Troubleshoot performance issues, implement proactive monitoring, and improve workflows. Enforce best practices for data security, governance, and compliance. Utilize schema migration/versioning tools for database changes. What Youll Bring: Bachelors or Masters in Computer Science, Engineering, or related field. 8+ years of experience in database engineering or backend data systems. Expertise in MySQL, Redshift, Snowflake, and schema optimization. Strong experience in writing functions, procedures, and robust SQL scripts. Proficiency with ETL processes, data modeling, and data freshness SLAs. Experience handling production performance issues and being the go-to database expert. Hands-on with Git, CI/CD pipelines, and data observability tools. Strong problem-solving, collaboration, and analytical skills.

Develop, maintain, and manage advanced reporting tools, dashboards, and analytics solutions Perform data analysis, validation, mapping, and design documentation Work closely with business analysts and stakeholders to understand and define reporting needs Support database administrators and developers in building data warehousing systems for analytics and reporting Implement business intelligence solutions to meet internal and external data reporting goals Administer and support data modeling, integration, and governance in data warehouse systems Assist in the generation of accurate, timely business reports Coordinate with business units to identify new data requirements and reporting mechanisms Develop and maintain business and technical documentation Contribute to BI standards and best practices across the organization Qualifications: Education: B.Tech / B.E. Experience: Minimum 3 years in an analytical role with hands-on BI experience Age: Below 35 years Domain expertise in financial services or marketing is a strong plus Skills and Competencies Technical Skills: Proficiency in SQL, Talend ETL, Tableau Experience with BI tools like Metabase Understanding of data modeling and schemas (MySQL, Aurora, Snowflake) Experience with database operations and SQL query optimization Familiarity with ETL pipelines, AWS, DBT, and GIT Programming experience in Python Knowledge of statistics and analytical problem-solving Soft Skills: Strong curiosity and willingness to learn Excellent storytelling and communication skills Team player with high integrity Strong relationship-building mindset Mission-driven and socially responsible Energetic, proactive, and goal-oriented Demonstrates initiative and bias for action

Description We are seeking an experienced Tableau Desktop professional to join our team in India. The ideal candidate will have a strong background in data visualization and will be responsible for creating insightful dashboards and reports that drive business decisions. Responsibilities Design, develop, and maintain interactive dashboards using Tableau Desktop. Collaborate with cross-functional teams to gather and analyze business requirements. Perform data analysis and prepare reports to support decision-making processes. Ensure data accuracy and integrity in visualizations and reports. Provide training and support to end-users on Tableau functionalities. Optimize Tableau dashboards for performance and usability. Skills and Qualifications 5-15 years of experience in data visualization and dashboard development using Tableau Desktop. Proficiency in SQL for data extraction and manipulation. Strong understanding of data warehousing concepts and ETL processes. Experience with data analysis and statistical techniques. Ability to communicate complex data insights effectively to non-technical stakeholders. Familiarity with data modeling and database management systems.

Description We are seeking a skilled Data Analyst to join our team in India. The ideal candidate will have extensive experience in data analysis, statistical methods, and data visualization. You will be responsible for transforming raw data into meaningful insights that drive business decisions. Responsibilities Collect, process, and analyze large datasets to derive actionable insights. Create and maintain dashboards and reports for various stakeholders. Collaborate with cross-functional teams to understand their data needs and provide solutions. Identify trends and patterns in data to support decision-making processes. Ensure data quality and integrity by performing regular audits and validations. Present findings and recommendations to management in a clear and concise manner. Skills and Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. 5-15 years of experience in data analysis or a related field. Proficiency in SQL and experience with database management systems. Strong knowledge of data visualization tools such as Tableau, Power BI, or similar. Experience with statistical analysis tools (e.g., R, Python, SAS). Familiarity with machine learning concepts and algorithms is a plus. Excellent problem-solving skills and attention to detail. Strong communication skills, both written and verbal, to effectively present data insights.

Strong exposure in developing jobs using IICS e.g. data replication, synchronization, mass ingestion etc. 4-6 Years of IT experience pertaining to ETL and SQL Experience in performing ETL design & Development Experience in Retail domain [Good to have] Experience in working with Agile/Scrum development teams. Required Skills Informatica SQL Retail Domain