Top SQL Developer Jobs in Bengaluru, KA
Experienced Lead Data Engineer needed to build and maintain data pipelines, ensure data quality, and collaborate with data analysts to drive insights. Technical leader guiding data infrastructure growth and data-driven decision-making.
The Sr. Data Engineer at Elanco will drive data pipeline and data product delivery through data architecture, modeling, design, and development on premise and/or Microsoft Azure cloud. Responsibilities include providing data engineering expertise on Azure, participating in data architecture discussions, developing data engineering methods, and staying updated with new technologies.
The SSDE I - Data Engineer at JioCinema is responsible for building data pipelines, creating master data, ensuring data availability, and setting up scalable event collection systems. They will work on improving existing systems, collaborate with cross-functional teams, and drive team productivity. Ideal candidates should have 4-7 years of Data Engineering experience and proficiency in programming languages like Java, Go, Scala, and Python as well as key technologies like BigQuery, Kafka, and Google Cloud Platform.
Lead the design and implementation of scalable data architectures, develop and optimize data pipelines, manage databases, ensure data quality and governance, provide mentorship and leadership, collaborate with stakeholders, and monitor performance for a digital banking platform.
The Data Engineer II is responsible for ensuring accurate and pertinent data for the Legal and Compliance departments. They extract and analyze data from multiple databases/platforms, design analytics models, and address business challenges. The role involves ensuring data integrity, conducting root-cause analyses, and implementing corrective measures for data-related issues.
As an Analytics Engineer at Kong, responsible for data engineering and product analytics tasks, optimizing the data ecosystem, collaborating with cross-functional teams, and deriving actionable insights. Key responsibilities include data engineering, product analytics, data quality and governance, collaboration, and utilizing the Kong data ecosystem.
Seeking a Staff Software Engineer (Data Engineering) at Demandbase to design, model, and implement data analysis and analytics solutions. The role involves being a hands-on contributor for data projects, supporting ETL pipeline modules, and collaborating with cross-functional teams in an Agile environment.
As a BI Senior Software Engineer at Epsilon, you will work with cutting-edge technologies like Greenplum, Pentaho, and Angular in an Enterprise Reporting environment. You will be responsible for fixing issues and providing support for reporting and analytics capabilities in the automotive marketing/loyalty space.
Senior Data Engineer role at S&P Global's Automotive Insights department. Responsible for managing and optimizing data pipelines within the automotive industry, designing scalable data architectures, and enabling efficient data access for analytics and machine learning applications.
Seeking a highly skilled ETL developer proficient in Snowflake and Informatica to design and execute ETL processes, integrate data from diverse sources, and contribute to the overall data strategy. Responsibilities include designing data pipelines, maintaining processes, ensuring scalability, collaborating with teams, and investigating data issues. Qualifications include a Bachelor's degree in a relevant field, 5+ years of experience with Informatica Cloud and Snowflake, proficiency in SQL and data modeling, and excellent technical documentation skills.
Role: Azure Synapse/SSIS, SQL & Power BI. Responsibilities include data modeling, writing complex SQL scripts, designing and delivering data platforms for Business Intelligence or Data Warehouse, handling and analyzing complex data, collaborating with team leads and subject matter experts, and working in an Agile environment. Must be a full-time bachelor graduate.
The Data Engineer will be responsible for creating and maintaining data pipeline architecture, assembling large and complex data sets, and building infrastructure for optimal data extraction, transformation, and loading. They will work with stakeholders to assist with data-related technical issues and support data infrastructure needs.
The Data Engineer at Sovereign will be responsible for maintaining large historical data stores, cleaning data, and building tools for researchers to access data easily in different formats.
Develop high performance and scalable solutions for extracting, transforming, and loading big data. Design and deploy cutting-edge solutions at scale to drive value from data at Walmart. Support People Data applications ensuring Data Quality and Governance standards. Collaborate with engineering teams globally to ensure data accuracy and quality.
As a Data Engineer at JioCinema, you will be responsible for building data pipelines, transformation services, and scalable data systems. You will work on improving existing systems, collaborating with cross-functional teams, and staying updated on the latest technology trends.
Looking for a senior data engineer to join the data engineering team at EarnIn. Responsibilities include designing, developing, and delivering large-scale data systems, collaborating with teams, and mentoring engineers. Must have 6+ years of development experience and expertise in Scala, Java, Python, C#, Kotlin, and major data processing frameworks.
Demonstrates use and application of data engineering principles to integrate, model, and automate data pipelines and data systems. Requires 2-4 years of experience or equivalent education and work experience. Works under limited supervision on assigned tasks to meet objectives.
Design, implement, and support data analysis and analytics solutions. Hands-on involvement in high-level design, data architecture, ETL pipeline modules, and analysis techniques. Collaborate with cross-functional teams in an Agile environment to build a high-scale data analytics platform.
Specialist Development - Data Engineer role at Sun Life, a leading financial services company. Responsible for working with dynamic colleagues to provide financial security and wealth products and services to clients globally. Opportunity to contribute to innovative technology and asset management.
The Data Engineer is responsible for building Data Engineering Solutions using next generation data techniques. Responsibilities include designing and developing big data solutions, moving legacy workloads to the cloud platform, building data pipelines, ensuring automation through CI/CD, tuning big data applications, evaluating new IT developments, and assessing risks in business decisions.
As a Senior Data Engineer at Gojek's GTF Data Platform team, you will design, build, and maintain data streaming solutions, troubleshoot data-related issues, ensure scalability and reliability, collaborate with stakeholders, and stay updated with data streaming technologies.
Xebia is seeking a Data Engineer to join their team and work on IT solutions related to data, AI, and cloud. The role involves contributing to technology consulting, software engineering, digital products, and intelligent automation for leading brands worldwide.
The Data Engineer 1 position at JLL involves developing, executing, and monitoring complex data management processes for ad hoc data and information delivery. The role requires strong SQL skills and knowledge of various data science tools. The individual will work on data architecture, data integration, data warehousing, and business intelligence in a global environment.
Senior Data Engineer role at Quantiphi. Responsibilities include building cloud-native solutions, working on data pipelines, SQL optimization, mentoring junior engineers, and more. Good to have skills include ML model migration and data governance.
Join Maersk's Global data analytics team as a Data Engineer to drive digital transformation and work on products with direct impact on the business. Collaborate with product managers, data scientists, and developers to ship high-impact digital products. Work with a wide range of data technologies and platforms in an agile environment.
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