data engineer, specialist Jobs in Hyderabad India

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LTIMindtree

<div>
 
 
 
 Data Quality Engineer
 
 
 
 
 
 
 
 
 Experience: 5+ Years
 
 
 
 
 Location: Hyderabad/Gurgoan/Noida
 
 
 
 
 Notice Period: 0-30 days
 
 
 
 
 Work Mode: Hybrid
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 <ul>
 <li>
 Design and execute ETL test plans and cases including automated scripts
 </li>
 <li>
 Validate data transformations and loading processes utilizing automation where possible
 </li>
 <li>
 Identify and document data discrepancies and errors automating error detection
 </li>
 <li>
 Perform data quality profiling and analysis employing automated data quality checks
 </li>
 <li>
 Write and execute SQL queries for data validation and automate data validation processes
 </li>
 <li>
 Test database stored procedures and functions creating automated test suites
 </li>
 <li>
 Document test results and create detailed reports automating report generation
 </li>
 <li>
 Track and manage defects using bug tracking tools and automate defect reporting
 </li>
 <li>
 Collaborate with developers and analysts to resolve data issues and contribute to automated testing frameworks
 </li>
 <li>
 Ensure data compliance with business rules and standards implementing automated compliance checks
 </li>
 </ul>
 
 
 
 
 
 
 Key Requirements
 
 
 
 
 
 
 <ul>
 <li>
 5years of experience in data quality and ETL testing
 </li>
 <li>
 Strong understanding of ETL concepts data warehousing principles and database systems
 </li>
 <li>
 Proficiency in SQL and experience with relational databases PostgreSQL SQL Server Snowflake
 </li>
 <li>
 Experience with ETL tools eg Informatica Talend DataStage AWS Glue Azure Data Factory
 </li>
 <li>
 Experience with cloudbased data platforms eg AWS Azure GCP is a plus
 </li>
 <li>
 Familiarity with data quality tools and techniques
 </li>
 <li>
 Experience with test management and bug tracking tools eg Jira Azure DevOps
 </li>
 <li>
 Experience with AgileScrum methodologies
 </li>
 </ul>
 
 
 
 
 
 
 Personal Attributes
 
 
 
 <ul>
 <li>
 Very good communication skills
 </li>
 <li>
 Ability to easily fit into a distributed development team
 </li>
 <li>
 Ability to manage timelines of multiple initiatives
 </li>
 <li>
 Selfmotivated especially with respect to learning new software tools and best practices in software quality assurance
 </li>
 </ul>
 
 
 
 
 If you&rsquo;re ready to make an impact and grow your career, let&rsquo;s connect!
 
 
 
 Disclaimer
 
 : At LTIMindtree, we believe in creating a culture of innovation, which reflects in everything we do. Empower yourself with possibilities that will take you to newer heights and will open to you newer avenues. Experience a vibrant work environment, brimming with new ideas, diverse people, and the innate drive to excel.
 
 
 Please also note that neither LTIMindtree nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTIMindtree for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTIMindtree disclaims any liability in case of loss or damage suffered as a consequence of the same.
 
 
 LTIMindtree is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, ethnicity, nationality, gender, gender identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, disability, or any other characteristic protected by applicable law.
 
 
 
</div>

Quality Analyst

<div>
 Requisition Id : 1637229
 
 
 Role:
 
 
 The Data Engineer, Specialist is responsible for designing, developing and maintaining scalable data pipelines and infrastructure to support analytics and business intelligence initiatives. This role involves building robust ETL (Extract, Transform, Load) processes, managing databases and optimizing cloud-based data platforms to ensure efficient and seamless integration of data from multiple sources.
 
 
 Roles &amp; Responsibilities:
 
 
 Develop and maintain scalable ETL (Extract, Transform, Load) processes to efficiently extract data from diverse sources, transform it as required and load it into data warehouses or analytical systems.
 
 
 Design and optimize database architectures and data pipelines to ensure high performance, availability and security while supporting structured and unstructured data.
 
 
 Integrate data from multiple sources, including APIs, third-party services and on-prem/cloud databases to create unified and consistent datasets for analytics and reporting.
 
 
 Collaborate with data scientists, analysts and business stakeholders to understand their data needs, develop data solutions and enable self-service analytics.
 
 
 Develop automated workflows and data processing scripts using Python, Spark, SQL, or other relevant technologies to streamline data ingestion and transformation.
 
 
 Optimize data storage and retrieval strategies in cloud-based data warehouses such as AWS Redshift, Google Big Query, or Azure Synapse, ensuring scalability and cost-efficiency.
 
 
 Maintain and improve data quality by implementing validation frameworks, anomaly detection mechanisms and data cleansing processes.
 
 
 Thoroughly tests code to ensure accuracy and alignment with its intended purpose. Reviews the final product with end users to confirm clarity and understanding, providing data analysis guidance as needed.
 
 
 Offers tool and data support to business users and team members, ensuring seamless functionality and accessibility.
 
 
 Conducts regression testing for new software releases, identifying issues and collaborating with vendors to resolve them and successfully deploy the software into production.
</div>

Data Engineer, Specialist

Novartis India

<div>
 
 Summary
 
 
 
 20 years of untapped data waiting to be explored. The digital revolution is changing everything, especially in pharmaceuticals, and Novartis has embraced a bold strategy to drive a company-wide digital transformation. With this mission, Data Operations group within BSI is working with the Novartis Business units and industry leading technology partners, to drive the execution of Novartis&rsquo; data strategy, turning its rich data resources into real strategic assets to drive actionable insights across the organization. This ambition is one of key pillars in the broader digital transformation happening at Novartis to be a &lsquo;medicines and data science company.
 
 
 We are looking for a skilled and enthusiastic Data Engineer with expertise in any of the ETL tools, Databricks, Snowflake SQL, and PySpark to join our innovative team.
 
 
 As a Data Engineer, you will be responsible for designing, implementing, and optimizing scalable data pipelines, ensuring data quality, and building robust data infrastructure.
 
 
 You will collaborate closely with data scientists, domain experts, and other stakeholders to ensure the efficient and reliable flow of data across the organization.
 
 
 
 About The Role
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 ETL Development: Design, implement, and maintain scalable ETL pipelines to extract, transform, and load data from various sources into data warehouses or data lakes.
 </li>
 <li>
 Databricks Utilization: Leverage Databricks to develop, optimize, and scale data engineering workflows.
 </li>
 <li>
 Data Modelling: Design and implement robust data models to support analytics and reporting needs.
 </li>
 <li>
 SQL Proficiency: Write, optimize, and maintain complex SQL queries for data extraction and transformation tasks.
 </li>
 <li>
 PySpark Development: Utilize PySpark for big data processing tasks, developing scalable and efficient solutions.
 </li>
 <li>
 Data Quality and Validation: Implement data quality checks and validation processes to ensure data accuracy and consistency.
 </li>
 <li>
 Data Integration: Integrate data from multiple sources, ensuring data consistency and reliability.
 </li>
 <li>
 Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
 </li>
 <li>
 Documentation: Create and maintain comprehensive documentation for data pipelines, data models, and related processes.
 </li>
 <li>
 Performance Optimization: Optimize data processing performance by fine-tuning ETL pipelines and data storage solutions.
 </li>
 <li>
 Security and Compliance: Ensure compliance with data governance policies and security protocols to protect sensitive and confidential information.
 </li>
 <li>
 Continuous Improvement: Stay current with industry trends and emerging technologies, continuously improving data engineering practices.
 
 
 </li>
 </ul>
 
 Education (minimum/desirable)
 
 
 
 Bachelor's or master&rsquo;s degree in computer science, Engineering, Information Systems, or a related field.
 
 
 
 Experience / Skills
 
 
 
 <ul>
 <li>
 8+ years&rsquo; experience in a Global company as a data steward, engineer, modeler or data scientist, with a strong focus on ETL tools, SQL, and PySpark.
 </li>
 <li>
 Business understanding of pharmaceutical industry and data standards. Domain experience in at least one of the following areas &ndash; a) Pharma R&amp;D, b) Manufacturing, Procurement and Supply Chain and c) Marketing and Sales. Experience in working in Pharma / Life Science industry strongly preferred
 </li>
 <li>
 Strong proficiency in SQL and experience with database management systems (e.g., PostgreSQL, MySQL, Oracle).
 </li>
 <li>
 Hands-on experience with Databricks for developing and optimizing data workloads.
 </li>
 <li>
 Proficiency in PySpark for big data processing tasks.
 </li>
 <li>
 Knowledge of data warehousing solutions (e.g. Snowflake).
 </li>
 <li>
 Experience of working with large codebase / repos using Git / Bitbucket
 </li>
 <li>
 Strong problem-solving skills and attention to detail.
 </li>
 <li>
 Excellent communication and collaboration skills with senior stakeholders
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and their data services (Databricks).
 </li>
 <li>
 Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
 </li>
 <li>
 Knowledge of real-time data processing and streaming technologies.
 </li>
 <li>
 Proficiency in data visualization tools (e.g., Tableau, Power BI).
 </li>
 <li>
 Experience with DevOps practices and tools for CI/CD pipelines.
 
 
 </li>
 </ul>
 
 Why consider Novartis?
 
 
 
 799 million. That&rsquo;s how many lives our products touched in 2019. And while we&rsquo;re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people&rsquo;s lives?
 
 
 We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you&rsquo;re given opportunities to explore the power of digital and data. Where you&rsquo;re empowered to risk failure by taking smart risks, and where you&rsquo;re surrounded by people who share your determination to tackle the world&rsquo;s toughest medical challenges.
 
 
 Imagine what you could do at Novartis!
 
 
 
 Commitment To Diversity &amp; Inclusion
 
 
 
 Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.
 
 
 Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network
 
 
 
 Why Novartis:
 
 Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients&rsquo; lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
 
 
 
 Join our Novartis Network:
 
 Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
 
 
 
 Benefits and Rewards:
 
 Read our handbook to learn about all the ways we&rsquo;ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
</div>

Senior Manager - Data Solutions

<div>
 
 Summary
 
 
 
 <ul>
 <li>
 Provide analytics support to Novartis internal customers (CPOs &amp; Regional marketing and sales teams) on various low-medium complexity analytical reports. -Support and facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics. -Support GBS -GCO business in building practice by involving in various initiatives like knowledge sharing, on-boarding and training support, support team lead in all business related tasks / activities, building process documentation and knowledge repositories -To be an integral part of a comprehensive design team responsible for designing promotional marketing materials.
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 
 Role/ job Title: Analyst
 
 
 
 
 Location: Hyderabad # Hybrid working
 
 
 
 
 About The Role
 
 
 
 Support GBS -GCO business in building practice by involving in various initiatives like knowledge sharing, on-boarding and training support, support team lead in all business related tasks / activities, building process documentation and knowledge repositories -To be an integral part of a comprehensive design team responsible for designing promotional marketing materials.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Create and deliver Field Excellence insights as per agreed SLAs (timeliness, accuracy, quality, etc) and drive excellent customer service
 </li>
 <li>
 Design, develop and/or maintain ETL based solutions that optimize field excellence activities based on Country commercial excellence needs through a variety of evolving infrastructure landscape
 </li>
 <li>
 Deliver services through an Agile project management approach with appropriate documentation and communication throughout the delivery of services
 </li>
 <li>
 Maintain standard operating procedures (SOPs), quality checklists that will enable excellent quality outputs for all outputs within the function
 </li>
 <li>
 Develop and maintain knowledge repositories that collect qualitative and quantitative data of field excellence related trends across Novartis operating markets
 
 
 </li>
 </ul>
 
 Essential Requirements
 
 
 
 <ul>
 <li>
 2 years experience in SQL and Excel
 </li>
 <li>
 Learning Agility &amp; Ability to manage multiple stakeholders
 </li>
 <li>
 Experience in Pharma datasets, Experience in Python or any other scripting language
 
 
 </li>
 </ul>
 Desirable Requirements
 
 
 <ul>
 <li>
 University/Advanced degree is required, Master&rsquo;s degree or equivalent experience in fields such as business administration, finance, computer science or technical field is preferred
 </li>
 <li>
 Experience of at least 3 years in using ETL tools (Alteryx, DataIKU, Matillion etc.) and hands on to cloud-based platforms like SnowFlake is mandatory
 
 
 </li>
 </ul>
 Why Novartis
 
 
 Our purpose is to reimagine medicine to improve and extend people&rsquo;s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us!
 
 
 Learn more here: https://www.novartis.com/about/strategy/people-and-culture
 
 
 You&rsquo;ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life
 
 
 Handbook. https://www.novartis.com/careers/benefits-rewards
 
 
 Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, Join the Novartis Network here: https://talentnetwork.novartis.com/network.
 
 
 
 Why Novartis:
 
 Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients&rsquo; lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
 
 
 
 Join our Novartis Network:
 
 Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
 
 
 
 Benefits and Rewards:
 
 Read our handbook to learn about all the ways we&rsquo;ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
</div>

Analyst

Microsoft

<div>
 Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
 
 
 Microsoft&rsquo;s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging &amp; real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
 
 
 Within Azure Data, the data integration team builds data gravity on the Microsoft Cloud. Massive volumes of data are generated &ndash; not just from transactional systems of record, but also from the world around us.  Our data integration products &ndash; Azure Data Factory and Power Query make it easy for customers to bring in, clean, shape, and join data, to extract intelligence.
 
 
 Microsoft&rsquo;s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging &amp; real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
 
 
 We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build cloud scale products with focus on efficiency, reliability and security.
 </li>
 <li>
 Build and maintain end-to-end Build, Test and Deployment pipelines.
 </li>
 <li>
 Deploy and manage massive Hadoop, Spark and other clusters.
 </li>
 <li>
 Contribute to the architecture &amp; design of the products.
 </li>
 <li>
 Triaging issues and implementing solutions to restore service with minimal disruption to the customer and business. Perform root cause analysis, trend analysis and post-mortems.
 </li>
 <li>
 Owning the components and driving them end to end, all the way from gathering requirements, development, testing, deployment to ensuring high quality and availability post deployment.
 
 
 </li>
 </ul>
 Embody our culture and values
 
 
 
 Qualifications
 
 
 
 
 Required/Minimum Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science, or related technical discipline
 </li>
 <li>
 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
 </li>
 <li>
 Experience in data integration or migrations or ELT or ETL tooling.
 
 
 </li>
 </ul>
 
 Preferred/Additional Qualifications
 
 
 
 <ul>
 <li>
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:
 
 
 This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 #azdat
 
 
 #azuredata
 
 
 #azdat #azuredata #microsoftfabric #dataintegration
 
 
 #BRAVOFY26
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Software Engineer II

Amista

<div>
 
 
 About the Role
 
 
 
 
 
 
 We are looking for an experienced
 
 SAP Cloud Integration for Data Services (CI-DS) Developer
 
 to design, develop, and maintain data integration interfaces between SAP IBP and external systems. The ideal candidate should have hands-on experience in CI-DS tasks, data flows, scripting, and troubleshooting integration issues in a cloud environment.
 
 
 
 
 
 The
 
 SAP Cloud Integration for Data Services (CI-DS) Developer
 
 will be responsible for designing, developing, and maintaining data integration tasks in SAP CI-DS for IBP and connected systems.
 
 
 
 
 
 
 Location : Hyderabad
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and maintain data integration tasks in
 
 SAP CI-DS for IBP
 
 and connected systems.
 </li>
 <li>
 Work on data extraction, transformation, and loading
 
 (ETL) processes using CI-DS
 
 functionalities.
 </li>
 <li>
 Configure and manage connections between
 
 SAP IBP tenants
 
 and other
 
 data sources (e.g., ADLS, S/4HANA, flat files, etc.).
 
 </li>
 <li>
 Monitor and troubleshoot CI-DS jobs, error handling, and performance optimization.
 </li>
 <li>
 Collaborate with functional consultants and business teams to understand integration requirements and deliver scalable solutions.
 </li>
 <li>
 Manage migration, deployment, and scheduling of
 
 CI-DS tasks
 
 across environments.
 </li>
 <li>
 Maintain technical documentation for all integration processes and enhancements.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, or a related field.
 </li>
 <li>
 Strong problem-solving skills and attention to detail.
 </li>
 <li>
 Excellent communication and teamwork abilities.
 </li>
 <li>
 Ability to adapt to new technologies and learn quickly in a fast-paced environment.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 A
 
 &lsquo;can-do&rsquo;
 
 attitude with the ability to work independently.
 </li>
 <li>
 Ability to collaborate with teams in different geographical locations.
 </li>
 <li>
 Strong verbal and written communication skills in English.
 </li>
 <li>
 Support SAP solution architects in interfaces and integration requirements.
 </li>
 <li>
 Ability to mentor and coach junior team members.
 </li>
 </ul>
 
 
</div>

Consultant

TransUnion

<div>
 TransUnion's Job Applicant Privacy Notice
 
 
 
 What We'll Bring
 
 
 
 We are seeking a Data Analyst with strong SQL and Spark SQL skills, and experience in ETL setup. This is a data analysis role, Exposure to
 
 
 cloud platforms like GCP or AWS is a plus..
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Write and optimize SQL/Spark SQL queries for data extraction and analysis.
 </li>
 <li>
 Support ETL setup and data validation processes.
 </li>
 <li>
 Create reports and dashboards using BI tools (e.g., Power BI, Tableau).
 </li>
 <li>
 Perform data quality checks and root cause analysis.
 </li>
 <li>
 Generate and maintain data reports using tools like Excel, or other reporting platforms.
 </li>
 <li>
 Analyze and interpret Java logs to troubleshooting and report issues.
 </li>
 <li>
 Collaborate with cross-functional teams to understand requirements and deliver high-quality solutions
 
 
 </li>
 </ul>
 
 What You'll Bring
 
 
 
 1+ years of experience in SQL and Spark SQL and Unix commands.
 
 
 <ul>
 <li>
 Basic understanding of GCP or AWS (preferred).
 </li>
 <li>
 Intermediate analytical and communication skills
 
 
 </li>
 </ul>
 
 Impact You'll Make
 
 
 
 Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field.
 
 
 <ul>
 <li>
 Strong problem-solving and communication skills
 
 
 </li>
 </ul>
 This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
 
 
 TransUnion Job Title
 
 
 Analyst, Data Analysis and Consulting
</div>

Data Analyst

Explore 21+ Etl developer in Hyderabad India this November. Find roles across top companies and apply now to boost your career.