Top SQL Developer Jobs in Bengaluru, KA

The Data Engineer will be responsible for developing and optimizing data pipelines and architectures using Azure, ADF, PySpark, Scala, and other technologies. They will work on ETL processes, ML models, streaming data, big data tools, and more to support business analytics and decision-making. Strong knowledge of Azure services and data tools is required.

Responsible for developing the backbone database key element in the PACS architecture, managing triple digit terabyte scale databases, and implementing horizontal scaling techniques like sharding and partitioning. Must have extensive experience in Oracle database ecosystem and hands-on expertise in data modeling, performance tuning, and indexing.

Seeking an experienced Senior Data Engineer to develop core data services for industry-leading reports and insights. Responsibilities include designing and building solutions, working with other teams, and partnering with Data Science experts. Must have 7+ years of development experience with data pipelines, ETL, AWS data services, Python, JavaScript, and SQL. Nice-to-have skills include data analytics, ML, Agile development environment, and CI/CD deployment.

Design, build, and shape data pipelines and infrastructure to support a modern data lake for a clinical trial enrollment platform. Work directly with sponsors and external parties on data products. Support internal and external data products by building, scaling, and integrating data processes. Ensure compliance with regulatory frameworks and drive best practices for high-performance systems.

Participates as a senior member of data development team, develops data integration codes, designs data lake layers, performs data analysis, and leads code reviews. Requires 8 years of experience and proficiency in Python, Scala, SQL, Hive, Spark, No SQL, Oozie, and Airflow.

Seeking a highly motivated Data Analytics Engineer to build and implement data analytics solutions using leading BI platforms. Responsibilities include working with clients to enable them on BI platforms, designing dashboards, writing efficient code, and staying up to date with industry trends. Qualifications include 5+ years of experience, strong problem-solving skills, and a Bachelor's or Master's degree in Computer Science or related field.

The Data Engineer at Foundry will be responsible for designing, implementing, and optimizing data infrastructure pipelines to support the collection, analysis, and storage of operational and blockchain data. The role involves ensuring data accuracy, security, and integrity, as well as leading cross-functional data projects and developing tools for data sourcing and automation.

Design and implement robust cloud-based data architectures with a focus on AI/ML technologies. Lead data-driven strategy, innovation, and optimization of global operations. Collaborate with cross-functional teams, select cloud platforms, integrate data sources, and promote data governance and security best practices. Mentor junior team members and drive continuous improvement initiatives.

The Data Engineer at Genworth will apply software development skills, math aptitude, and knowledge of finance and accounting systems. Responsibilities include migrating applications to a SaaS model, developing and maintaining scripts, managing data feeds, troubleshooting, and collaborating with various stakeholders.

Design, develop, and maintain big data solutions using technologies such as Hadoop, HDFS, Spark, and Hive. Collaborate with data scientists, analysts, and business stakeholders to deliver actionable insights. Implement and optimize data storage and retrieval strategies. Maintain technical documentation of big data solutions and processes.

As a Big Data Engineer at Nielsen, you will be responsible for building scalable and reliable solutions for both cloud and on-premises environments. You will collaborate with Scrum and program teams to test, develop, and implement quality software using Agile methodologies. Key responsibilities include developing end-to-end solutions in Big Data analytics, providing cloud integration support, and mentoring junior team members. The role requires a bachelor's degree in computer science, engineering, and 4-8 years of IT solutions development experience.

Looking for an experienced Senior Software Engineer, Database Developer to architect and implement scalable systems at Degreed India in Bengaluru. Responsibilities include supporting database, schema design, stored procedures, and collaborating with cross-functional teams to drive product development. The role is onsite with a hybrid work model and occasional international travel for company gatherings.

Looking for an experienced Data Engineer to build, maintain, scale, and integrate big data-based platforms. Responsible for setting up and automating Data Science models/algorithms for production use. Opportunity to provide data insight for analysis and drive business decisions.

As a Senior Data Engineer at Komodo Health, you will drive the development of data products and tools using technologies like Spark, Airflow, and Snowflake. Responsibilities include writing enterprise-level code, leading data pipelining, and enhancing operational stability of software applications.

Greenlight Financial is seeking a highly skilled and experienced Staff Data Analytics Engineer to design, develop, and maintain data infrastructure, collaborate with cross-functional teams, and ensure robust and scalable data solutions for business needs.

Lead the Data Engineering team in implementing cloud data strategies, managing data pipelines, and collaborating on cloud migration initiatives. Responsible for team development, data architecture, and modernizing data solutions. Requires 8+ years of hands-on experience in Data Technologies and 5+ years in a technology lead role within Data Engineering.

The Junior Data Integration Engineer is responsible for managing, developing, and deploying IT solutions within an enterprise applications landscape, focusing on integration and data-centric solutions. They translate functional requirements into technical solutions and ensure compliance with process, architecture, design, and security guidelines of NXP. Responsibilities include managing and developing graph DB-based integration projects, acting as Second Line Support, participating in design and development, and collaborating with IT solution teams and vendors.