Top SQL Developer Jobs in Bengaluru, KA

As a Data Engineer in Finance Technology DevOps team, responsible for developing Schematic Data Model, Business Intelligence services, AI/ML exploration, and supporting DevOps activities. Collaborate with product managers and application platform teams to build scalable reporting solutions and AI models.

JLL is seeking a Senior Data Engineer to work in a fast-paced environment, designing and developing data solutions for the Commercial Real Estate business. Responsibilities include developing data pipelines, optimizing system performance, implementing data architecture best practices, collaborating with data scientists, and ensuring data integrity.

The Principal Data Engineer role at GSK involves contributing to the construction of the development data fabric and data strategy. Responsibilities include using Azure cloud services and GSK data platform tools to ingest, egress, and transform data from multiple sources. The role requires expertise in various technologies such as Java, C#, Python, Data Science, cloud services, and data analytics.

Data Engineer III responsible for designing and developing data-driven frameworks and applications on Cloud platforms, migrating on-premise data systems to the Cloud, and evaluating newer Cloud technologies. Participate in the full software lifecycle, collaborate with Product Management and Analyst Teams, and contribute to technology vision. Requires 6+ years of industry experience with a focus on data ingestion, processing, and publishing on enterprise-scale Big Data solutions.

The Data Platform Engineer is responsible for implementing data-centric business deliverables, data manipulation, building data systems, and data pipelines. They collaborate with technology teams and support data initiatives. Key responsibilities include designing/implementing data solutions, ensuring optimal data delivery architecture, and sharing knowledge around data manipulation and flow services.

Join our Revenue Engineering team as a Senior Data Engineer to build and support data infrastructure for revenue generating teams across BlueVine. Collaborate with various business functions to leverage data and automation for improved efficiency and productivity.

Design and implement data solutions using various technical stacks and programming languages. Provide thought leadership and recommend technologies and solutions. Develop custom data pipelines and optimize SQL queries. Must have at least 4 years of experience as a Software Engineer, Data Engineer, or Data Analyst.

Data Engineer role at Procore to work on next-generation global data infrastructure, build data pipelines, develop data visualizations, and collaborate with cross-functional teams to deliver actionable insights from data to the business.

Design and build mission critical data pipelines, support analytical needs of the business, automate end-to-end data pipeline, optimize data pipeline for ML workloads, collaborate with analysts and business stakeholders, and provide technical leadership in data engineering.

The Senior Data Engineer position at Visa's Risk and Identity Solutions team involves managing large volumes of data, creating efficient processes, and standardizing ML/AI tools. The role requires expertise in data engineering and data science to support the deployment of machine learning models in large-scale projects.

The Senior Data Engineer will be responsible for building and maintaining an advanced data platform for data-driven decision-making in the construction industry. This role involves creating scalable data pipelines, optimizing performance, mentoring junior engineers, and collaborating with cross-functional teams to deliver innovative solutions.

Principle Data and GenAI Engineer role at GSK involves contributing to the construction of the development data fabric and data strategy. Responsibilities include using Azure cloud services, GSK data platform tools, and collaborating with other team members to create technical solutions in alignment with agile and DevOps principles. The role also includes working with cutting-edge technologies like large language models, Langchain, and RAG.

As a Data Engineer at Demyst, you will be responsible for collaborating with internal project managers, sales directors, and clients to build external data-driven solutions using Python, Pandas, ETL, APIs, SQL, Git, and more. The role involves analyzing data, designing code blocks, and maintaining production solutions.

Data Engineer responsible for maintaining and supporting Oracle Hyperion's EPM suite. Collaborates with functional teams to gather requirements, analyze, and provide technical solutions. Conducts unit testing, prepares technical documentation, and ensures timely task completion. Strong understanding of financial data and business processes is essential.

The Data Engineer will collaborate with technical teams to develop data pipelines, support data applications, profile data sources, and improve data integrations using modern cloud and big data architectures. Minimum qualifications include 3+ years of experience in data warehouse design, proficiency in SQL, data modeling, Python, and ELT tools like Matillion and Fivetran. Preferred qualifications include experience with CI/CD process and advanced Snowflake.

As a Senior Data Engineer at Nielsen, you will be part of a Scrum/DevOps team focusing on analyzing, developing, testing, and supporting highly complex application software build on Big Data. Your primary objective is to ensure project goals are achieved and aligned with business objectives. Responsibilities include building scalable solutions, testing Cloud-based applications, driving innovative solutions, collaborating with Data Science, and mentoring junior team members.

Seeking a Senior Data Engineer with 7+ years of experience in managing and optimizing big data pipelines, architectures, and data sets. Must have experience with Azure data technologies, relational databases, and visualization tools. Strong academic background and certifications are preferred.