ETL Tool Job Vacancies in Delhi NCR

Key Responsibilities:- Design and manage data pipelines to transform and integrate structured and unstructured data.- Ensure high data quality and performance.- Support analytics, reporting, and business intelligence needs by preparing reliable data sets and models for stakeholders.- Collaborate with Analysts, Digital Project Managers, Developers, and business teams to ensure data accessibility and usefulness.- Enforce standards for data governance, security, and cost-effective operations.Ideal candidates will thrive in a collaborative, mission-focused environment and excel in ETL/ELT engineering. They should have experience building scalable data solutions using modern data engineering technologies that impact organizational outcomes.Required Qualifications:- Strong proficiency in Structured Query Language (SQL) and at least one programming language such as Python or Scala.- Hands-on experience developing ETL or ELT pipelines.- Experience with cloud-native data services (e.g., AWS Glue, AWS Redshift, Azure Data Factory, Azure Synapse, Databricks).- Good understanding of data modeling and data warehousing concepts.Desired Qualifications:- Design, build, and optimize scalable ETL or ELT pipelines handling both structured and unstructured data.- Ingest and integrate data from internal and external sources into data lakes or data warehouses.- Ensure that processed data is accurate, complete, and secure.Outcomes include well-documented, automated pipelines that support downstream analytics without bottlenecks or data errors.

Hello Everyone,Greetings!We are actively hiring a Data Engineer for our India team! If you or someone in your network is interested, please review the job details below and reach out to me at gaurav.sharma@cxdatalabs.com with you cv.Key Responsibilities:and optimize database data modeling with expertise in Azure Synapse, Azure DataFactory, and Databricks.data migration and modernization efforts within the Enterprise Data Lake.and implement data pipelines, ETL mappings, sessions, and workflows.data transformation, data modeling/mart creation, and scheduling coordination.closely with the Enterprise Information Management Team on data validation strategis, quality analysis, issue resolution, and unit testing.smooth release management and system integration.Qualifications & Skills Required:years of experience in Data Engineering, with a strong domain background in Clinical Research & Biopharmaceutical services.in data platforms and analytics systems, collaborating with Product Owners and stakeholders.in data modeling tools (ER Studio, Erwin) and cloud technologies.understanding of ETL processes, data quality management, and integration strategies.with Agile tools like Jira, Confluence, and Asana.problem-solving skills with the ability to identify areas for improvement and alignbusiness requirements.communication skills to proactively communicate integration changes in advance.If youre interested or have any referrals, please email me or message me directly.Looking forward to connecting!Best Regards,Gaurav Sharma#8802080222HR Operations PartnerCX Data Labs

Key Responsibilities:Database Design and Architecture:Design and implement SQL database structures to meet the organization's data storage and retrieval needs.Collaborate with software developers and stakeholders to understand data requirements and ensure efficient data modelling.Optimize schema design for data integrity, normalization, and performance.Database Performance Optimization:Identify and analyse performance bottlenecks and query optimization opportunities.Develop and implement strategies to improve database performance, including indexing, caching, and query optimization.Monitor and analyse database performance metrics, making recommendations for improvements.Query and Index Optimization:Analyse and optimize SQL queries to reduce execution times and resource consumption.Identify and create appropriate indexes to speed up data retrieval and processing.Provide guidance and best practices to application developers for writing efficient SQL queries.Data Migration and ETL:Plan and execute data migration and ETL processes, ensuring data integrity and performance.Optimize data transformation and loading processes for efficient ETL operations.Database Security:Implement and maintain database security measures to protect sensitive data.Audit and enforce data access controls and encryption as necessary.Backup and Recovery:Develop and maintain robust backup and recovery procedures to ensure data availability and integrity.Documentation and Training:Maintain detailed documentation of database structures, configurations, and performance optimization strategies.Provide training and knowledge transfer to team members and stakeholders as needed.Stay Informed:Stay up to date with the latest database technologies and trends to ensure the organization's databases remain competitive and efficient.

Datastage Sr. Developer - Job Description:Strong hands on experience on DataStage developmentKnowledge of PL/SQLStrong analytical skillsKnowledge of Teradata, Snowflake, Snaplogic will be add-ons, to primary skillsGood Communication SkillsReady to work in second shiftExperience : 5-7 years