Top SQL Developer Jobs in Bengaluru, KA

The Senior Data Engineer at Data Ventures plays a key role in developing and executing data strategies, data transformation, integration, and modeling. They work on data pipelines, data modeling, code development, testing, and problem formulation to empower merchants and suppliers with valuable insights.

Lead and build data pipelines and systems to store, process, and analyze large datasets for Narvar's data products. Collaborate with data scientists and teams to integrate data into business processes. Stay updated with latest data engineering technologies and implement as needed.

Design and implement data pipelines, write efficient code for data transformation, work with big data and distributed systems, collaborate with technology teams, and explore new technologies to improve data capabilities.

Data Engineer role at JLL Technologies focusing on Informatica MDM expertise, data management, MDM implementation, data modeling, integration skills, data profiling, technical skills, troubleshooting, documentation, and communication. Requires 3-6 years of experience.

Passionate Data Architect with strong problem-solving skills and analytical skills. Responsible for delivering modern data solutions including data ingestion, data pipeline design, data warehouse & data lake architectures, cognitive computing, and cloud services.

The Data Engineer will be responsible for developing and delivering code for Haleon's Enterprise Data & Analytics Platform. They will work on integrating components, designing frameworks, and building reusable data solutions to enable faster acquisition and curation of datasets.

Manage and maintain MSSQL databases, optimize performance, troubleshoot issues, and ensure data security and integrity.

As a Senior Data Engineer at Saviynt, you will design, develop, and maintain scalable data pipelines for both batch and real-time processing. You will collaborate with cross-functional teams to ensure data quality and reliability, and mentor junior engineers.

As a Senior Data Engineer, analyze complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models. Develop data warehouse and data mart designs, evaluate existing data models, write code, support data requirements, deploy software, and train end-users on data modeling.

The Senior Data Engineer will be responsible for building and maintaining data solutions to democratize access to People/HR data within the organization. They will collaborate with various teams to design and build scalable distributed data pipelines and deploy scalable AL/ML solutions. The role requires expertise in Big Data Ecosystem tools, building batch and streaming data pipelines, and working with open-source frameworks for managing large datasets.

JLL Technologies is seeking a Senior Data Engineer to design and develop strategic data solutions for Commercial Real Estate using the latest technologies. Responsibilities include developing data pipelines, analyzing diverse datasets, and enhancing data processing capabilities. Requires 6+ years of experience and a bachelor's degree in Information Science, Computer Science, Mathematics, Statistics, or a quantitative discipline.

The BigData Engineers have expertise in building horizontally scalable applications using distributed technologies like NoSQL Dbs, Hadoop, Spark, and others. Responsibilities include developing, maintaining, and testing big data solutions for advanced analytics projects, testing machine learning models, and deploying learned models for ongoing scoring and prediction.

Seeking a Data Engineer to design, develop, and maintain data solutions for analytics and business purposes. Responsibilities include data integration, processing, retrieval, and transformation to enable valuable insights for decision-making. The role requires collaboration with cross-functional teams to enhance data solutions leveraging modern tech stack.

Seeking a Lead Data Engineer experienced in Azure Cloud technologies to design and build data pipelines, manage data storage solutions, and drive insights through data processing and analytics. Responsibilities include developing data pipelines, maintaining data lake architectures, collaborating with stakeholders, and optimizing processes. Prerequisite skills include expertise in Azure Data Factory, Azure Databricks, distributed computing with Apache Spark, SQL, Python, and more. The candidate must have a Bachelor's/Master's degree in relevant fields and at least 6 years of experience in Data Engineering.

Lead Data Engineer role at Glean, responsible for building and managing data engineering group, improving data availability, architecting data transformations, ensuring data quality, and enhancing ETL tooling and processes. Requires 8+ years of data engineering experience.

Design, implement, and optimize MongoDB databases for high performance and availability, both on-premises and in the cloud. Work on database architecture, scalability, and security measures. Collaborate with DBAs and development teams for backup and recovery procedures.

Join athenahealth as a Senior Data Engineer to design, build, and maintain data pipelines for healthcare data. Collaborate with data scientists and business stakeholders to develop scalable and efficient data solutions. Stay updated on healthcare data analytics technologies and work in a collaborative team environment.