5 Immuta Jobs

Join us as a Data Engineer responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality, and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. To be successful as a Data Engineer, you should have experience with: - Hands-on experience in PySpark and strong knowledge of Dataframes, RDD, and SparkSQL. - Hands-on experience in developing, testing, and maintaining applications on AWS Cloud. - Strong hold on AWS Data Analytics Technology Stack (Glue, S3, Lambda, Lake Formation, Athena). - Design and implement scalable and efficient data transformation/storage solutions using Snowflake. - Experience in data ingestion to Snowflake for different storage formats such as Parquet, Iceberg, JSON, CSV, etc. - Experience in using DBT (Data Build Tool) with Snowflake for ELT pipeline development. - Experience in writing advanced SQL and PL SQL programs. - Hands-On Experience for building reusable components using Snowflake and AWS Tools/Technology. - Should have worked on at least two major project implementations. - Exposure to data governance or lineage tools such as Immuta and Alation is an added advantage. - Experience in using Orchestration tools such as Apache Airflow or Snowflake Tasks is an added advantage. - Knowledge of Abinitio ETL tool is a plus. Some other highly valued skills may include: - Ability to engage with stakeholders, elicit requirements/user stories, and translate requirements into ETL components. - Ability to understand the infrastructure setup and provide solutions either individually or working with teams. - Good knowledge of Data Marts and Data Warehousing concepts. - Possess good analytical and interpersonal skills. - Implement Cloud-based Enterprise data warehouse with multiple data platforms along with Snowflake and NoSQL environment to build data movement strategy. You may be assessed on key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills. The role is based out of Chennai. Purpose of the role: To build and maintain the systems that collect, store, process, and analyze data, such as data pipelines, data warehouses, and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities: - Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete, and consistent data. - Design and implementation of data warehouses and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. - Development of processing and analysis algorithms fit for the intended data complexity and volumes. - Collaboration with data scientists to build and deploy machine learning models. Analyst Expectations: To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise. Thorough understanding of the underlying principles and concepts within the area of expertise. They lead and supervise a team, guiding and supporting professional development, allocating work requirements, and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviors to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviors are: L Listen and be authentic, E Energize and inspire, A Align across the enterprise, D Develop others. OR for an individual contributor, they develop technical expertise in the work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for the end results of a team's operational processing and activities. Escalate breaches of policies/procedures appropriately. Take responsibility for embedding new policies/procedures adopted due to risk mitigation. Advise and influence decision-making within the own area of expertise. Take ownership of managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility following relevant rules, regulations, and codes of conduct. Maintain and continually build an understanding of how your sub-function integrates with the function, alongside knowledge of the organization's products, services, and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organization sub-function. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and guided by precedents. Guide and persuade team members and communicate complex/sensitive information. Act as a contact point for stakeholders outside of the immediate function, while building a network of contacts outside the team and external to the organization. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

We are seeking an Ataccama Admin to become a valuable part of our team, assisting in the management and upkeep of our Ataccama data quality and data governance platform. Your responsibilities will include the installation, configuration, and maintenance of Ataccama on the AWS/Azure platform. Additionally, you will play a key role in developing and executing data quality rules and policies. A strong grasp of Ataccama architecture and best practices is essential, along with prior experience in data management and data governance. Familiarity with Collibra and Immuta administration would be advantageous, and proficiency in overseeing VMs, as well as both Windows and Linux systems, is required. Previous experience in the pharmaceutical sector is preferred. In this role, your duties will encompass the development and enforcement of data quality rules and policies, monitoring and reporting on data quality metrics, troubleshooting and resolving Ataccama-related issues, and staying informed on the latest features and best practices of Ataccama. Collaborating with cross-functional teams to implement data governance policies and procedures will be a key aspect of your responsibilities. You will also be tasked with managing and maintaining VMs and systems based on Windows and Linux platforms, overseeing redundancy, backup, and recovery plans and processes, and demonstrating a robust knowledge of AWS/Azure. The ideal candidate should possess a minimum of 4 years of experience working with Ataccama, along with a background in data management and data governance. Prior experience in administering Collibra and Immuta would be advantageous. Proficiency in managing VMs, Windows, and Linux systems, as well as experience in Performance Tuning, are essential requirements. Strong analytical and problem-solving skills, excellent communication, and the ability to work effectively in a team are all qualities we are looking for in potential candidates. A crucial requirement for this role is proficiency in Ataccama ONE administration, demonstrating your ability to effectively manage the Ataccama environment.,

Based in Hyderabad, you will have the opportunity to join a global healthcare biopharma company with a 130-year legacy of success. This company is committed to ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. You will be part of an organization that is at the forefront of digital technology and data-backed approaches, supporting a diversified portfolio of prescription medicines, vaccines, and animal health products. As a leader within this organization, you will have a passion for utilizing data, analytics, and insights to drive decision-making and address some of the world's most significant health threats. The Technology Centers play a crucial role in creating a collaborative space where teams work together to deliver business solutions that align with the company's purpose of saving and improving lives. These Tech Centers, distributed globally, are integral to the company's IT operating model and digital transformation journey. As a Lead Technical Data and Analytics Architect, you will play a pivotal role in shaping the company's enterprise data and analytics portfolio. This position requires a blend of strategic technology leadership and hands-on technical expertise. You will lead a small team of architects, fostering collaboration and ensuring high-quality delivery across multiple product lines. Your responsibilities will include developing and maintaining a cohesive architecture vision, providing leadership to the team of architects, fostering a collaborative environment for innovation and best practices, collaborating with product teams on product design and integration, driving the adoption of cutting-edge technologies, establishing and governing architectural frameworks, creating capability and technology maps, and providing hands-on technical leadership. To excel in this role, you should have proven leadership experience, deep technical expertise in data engineering, data management, data governance, cloud technologies, and Generative AI technologies. Strong communication, presentation, and stakeholder management skills are essential, along with a passion for innovation and the ability to balance strategic leadership with hands-on technical contributions. At this company, employees are encouraged to propose innovative solutions that enable new organizational capabilities. Collaboration is key, as technology teams work as business partners to deliver services and solutions that enhance productivity and drive innovation. If you are seeking a role where you can contribute to saving and improving lives globally, leverage your technical expertise, and be part of a team dedicated to innovative health solutions, this opportunity may be the perfect fit for you. Join us in our mission to make a positive impact in the world.,

Work Location : Hyderabad What Gramener offers you Gramener will offer you an inviting workplace, talented colleagues from diverse backgrounds, career paths, and steady growth prospects with great scope to innovate. We aim to create an ecosystem of easily configurable data applications focused on storytelling for public and private use. Data Architect We are seeking an experienced Data Architect to design and govern scalable, secure, and efficient data platforms in a data mesh environment. You will lead data architecture initiatives across multiple domains, enabling self-serve data products built on Databricks and AWS, and support both operational and analytical use cases. Key Responsibilities Design and implement enterprise-grade data architectures leveraging the medallion architecture (Bronze, Silver, Gold). Develop and enforce data modelling standards, including flattened data models optimized for analytics. Define and implement MDM strategies (Reltio), data governance frameworks (Collibra), and data classification policies. Lead the development of data landscapes, capturing sources, flows, transformations, and consumption layers. Collaborate with domain teams to ensure consistency across decentralized data products in a data mesh architecture. Guide best practices for ingesting and transforming data using Fivetran, PySpark, SQL, and Delta Live Tables (DLT). Define metadata and data quality standards across domains. Provide architectural oversight for data platform development on Databricks (Lakehouse) and AWS ecosystem. Key Skills & Qualifications Must-Have Technical Skills: (Reltio, Colibra, Ataccama, Immuta) Experience in the Pharma domain. Data Modeling (dimensional, flattened, common data model, canonical, and domain-specific, entity-level data understanding from a business process point of view). Master Data Management (MDM) principles and tools (Reltio) (1). Data Governance and Data Classification frameworks (1). Strong experience with Fivetran**, PySpark, SQL, Python. Deep understanding of Databricks (Delta Lake, Unity Catalog, Workflows, DLT) . Experience with AWS services related to data (e.g., S3, Glue, Redshift, IAM, ). Experience on Snowflake. Architecture & Design Proven expertise in Data Mesh or Domain-Oriented Data Architecture. Experience with medallion/lakehouse architecture. Ability to create data blueprints and landscape maps across complex enterprise systems. Soft Skills Strong stakeholder management across business and technology teams. Ability to translate business requirements into scalable data designs. Excellent communication and documentation skills. Preferred Qualifications Familiarity with regulatory and compliance frameworks (e.g., GxP, HIPAA, GDPR). Background in data product building. About Us We consult and deliver solutions to organizations where data is the core of decision-making. We undertake strategic data consulting for organizations, laying out the roadmap for data-driven decision-making. This helps organizations convert data into a strategic differentiator. Through a host of our products, solutions, and Service Offerings, we analyze and visualize large amounts of data. To know more about us visit Gramener Website and Gramener Blog. Apply for this role Apply for this Role Show more Show less

Join us as a Data Engineer at Barclays, where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions. To be successful as a Data Engineer, you should have experience with hands-on experience in Pyspark and a strong knowledge of Dataframes, RDD, and SparkSQL. You should also have hands-on experience in developing, testing, and maintaining applications on AWS Cloud. A strong hold on AWS Data Analytics Technology Stack (Glue, S3, Lambda, Lake formation, Athena) is essential. Additionally, you should be able to design and implement scalable and efficient data transformation/storage solutions using Snowflake. Experience in data ingestion to Snowflake for different storage formats such as Parquet, Iceberg, JSON, CSV, etc., is required. Familiarity with using DBT (Data Build Tool) with Snowflake for ELT pipeline development is necessary. Advanced SQL and PL SQL programming skills are a must. Experience in building reusable components using Snowflake and AWS Tools/Technology is highly valued. Exposure to data governance or lineage tools such as Immuta and Alation is an added advantage. Knowledge of Orchestration tools such as Apache Airflow or Snowflake Tasks is beneficial, and familiarity with Abinitio ETL tool is a plus. Some other highly valued skills may include the ability to engage with stakeholders, elicit requirements/user stories, and translate requirements into ETL components. A good understanding of infrastructure setup and the ability to provide solutions either individually or working with teams is essential. Knowledge of Data Marts and Data Warehousing concepts, along with good analytical and interpersonal skills, is required. Implementing Cloud-based Enterprise data warehouse with multiple data platforms along with Snowflake and NoSQL environment to build data movement strategy is also important. You may be assessed on key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills. The role is based out of Chennai. Purpose of the role: To build and maintain the systems that collect, store, process, and analyze data, such as data pipelines, data warehouses, and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities: - Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete, and consistent data. - Design and implementation of data warehouses and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. - Development of processing and analysis algorithms fit for the intended data complexity and volumes. - Collaboration with data scientists to build and deploy machine learning models. Analyst Expectations: - Meet the needs of stakeholders/customers through specialist advice and support. - Perform prescribed activities in a timely manner and to a high standard which will impact both the role itself and surrounding roles. - Likely to have responsibility for specific processes within a team. - Lead and supervise a team, guiding and supporting professional development, allocating work requirements, and coordinating team resources. - Demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. - Manage own workload, take responsibility for the implementation of systems and processes within own work area and participate in projects broader than the direct team. - Execute work requirements as identified in processes and procedures, collaborating with and impacting on the work of closely related teams. - Provide specialist advice and support pertaining to own work area. - Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. - Deliver work and areas of responsibility in line with relevant rules, regulations, and codes of conduct. - Maintain and continually build an understanding of how all teams in the area contribute to the objectives of the broader sub-function, delivering impact on the work of collaborating teams. - Continually develop awareness of the underlying principles and concepts on which the work within the area of responsibility is based, building upon administrative/operational expertise. - Make judgements based on practice and previous experience. - Assess the validity and applicability of previous or similar experiences and evaluate options under circumstances that are not covered by procedures. - Communicate sensitive or difficult information to customers in areas related specifically to customer advice or day-to-day administrative requirements. - Build relationships with stakeholders/customers to identify and address their needs. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,