Top SQL Developer Jobs in Bengaluru, KA

Senior Data Engineer role at Quantiphi focusing on delivering big data solutions using Pyspark, SQL, and various AWS services. Must have experience in cloud-based solutions, SQL optimization, and Databricks. Good to have skills include data migration and Redshift optimization.

Seeking a Senior Data Platform Engineer with 8+ years of experience to design and develop cloud-based microservices, REST APIs, data quality frameworks, and CI/CD pipelines. Responsibilities include maintaining data pipelines and infrastructure, performance improvement, and collaborating with peer teams. Requires expertise in Python, SQL, AWS, Postgres, Redshift, MongoDB, DynamoDB, and experience with various tools and technologies.

This position is for a Senior Data Engineer with development experience focusing on creating new capabilities in the Risk space while maturing the code base and development processes. The role involves working in a dynamic environment, contributing to Agile Scrum teams, and being dedicated to delivering production-ready code.

Senior Database Developer position at Epsilon working on a complex rule-based multi-channel marketing campaign platform supporting Fortune 100 companies. Responsibilities include setup/configuration of development environment, analysis and design of new features, communication with teams, development of features, troubleshooting, automation of tasks, and more.

The Sr Data Engineer will be responsible for developing, maintaining, and supporting big data ETL pipelines using Hadoop, Spark, and Hive. They will work on implementing scalable distributed systems and collaborating with peers to design and develop ETL pipelines. This is a hybrid role with a mix of remote and office work. The position is based in Bangalore, India.

As a Staff Data Engineer for Visa, you will drive innovations by introducing technologies, methods, and solutions to deliver innovative products in the Risk and Identity technology organization. You will research and develop flawless, fast, reliable, and secure payment solutions using machine learning, artificial intelligence, and big data research.

Lead Data Engineer responsible for designing, developing, and maintaining data infrastructure, leading a team of data engineers, and contributing to overall data strategy. Requires expertise in Microsoft data technologies, strong data modelling skills, and experience in Agile environments.

This position is for a Data Engineer focusing on developing software solutions that leverage data to solve business problems. Responsibilities include delivering high-quality products, scoping effort, participating in continuous integration activities, and performing tasks related to data governance and system infrastructure. The position is a hybrid role with 2-3 set days in the office per week.

The Senior Data Engineer I at Pax8 designs, develops, tests, deploys, and maintains systems for data collection, transformation, storage, and management. They work on individual projects based on deadlines, collaborate with teams, and provide technical leadership in data system development. Responsibilities include building scalable data pipelines, mentoring junior engineers, and optimizing code quality. Ideal candidates have 4+ years of data engineering experience with expertise in Python, SQL, Apache Spark, Apache Kafka, and job orchestration tools.

Seeking a Senior Staff Data Engineer to lead the development of data infrastructure, data processing, and quality checks. Responsibilities include setting strategic vision, providing technical leadership, collaborating with data scientists, and optimizing data infrastructure for performance and scalability.

As a Senior Data Engineer at Oportun, you will design, develop, and maintain sophisticated software and data platforms. You will contribute to architectural decisions, mentor junior engineers, and collaborate with cross-functional teams to deliver high-quality solutions.

As a Senior Data Engineer at JioCinema, you will align data engineering initiatives with business goals, design and implement ETL/ELT pipelines, manage and optimize database systems, guide utilization of Hadoop components, lead adoption of real-time data processing frameworks, and leverage cloud-based data solutions. You will also need strong programming skills, experience in data warehousing, knowledge of data protection regulations, proficiency in visualization and BI tools, and expertise in infrastructure automation.

This Senior Database Developer position at Epsilon requires strong Oracle database knowledge to work on a complex rule-based multi-channel marketing campaign platform supporting Fortune 100 companies. Responsibilities include setup/configuration of the development environment, analysis and design of new features, communication with various teams, development of features, assisting with troubleshooting, and supporting system upgrades.

Lead Data Engineer role at JLL Technologies in Bangalore. Responsible for designing and implementing enhancements, maintenance, and support for applications. Must have strong experience in DW/BI technologies, Python, PySpark, and SQL. Requires 12+ years of experience and a college degree in Computer Science or related field. Must have project leadership capacity and excellent technical skills.

Seeking a motivated and experienced Data Engineer to develop data pipelines, manage a data lake, support business intelligence developers, and collaborate with various teams to implement powerful solutions leveraging cloud, big data, NLP and ML.

JLL is seeking a Data Engineer to work in a global role designing and developing strategic data solutions for the business using the latest technologies and patterns. The role involves partnering with the broader JLLT team at different levels and requires expertise in SQL, PySpark, cloud platforms, data pipelines, ETL processes, and data warehousing concepts.

Seeking a Senior Data Engineer to build Procore's next-generation construction data platform. Responsibilities include designing and implementing data platforms, models, and pipelines, collaborating with teams, staying updated on data technology trends, and mentoring teammates. Requires 6+ years of experience with cloud-based data platforms, data warehouses, MPP query engines, and data modeling. Strong skills in Python, Java, Scala, and various data technologies.