Top Data Engineer Jobs in Bengaluru, KA

Responsibilities include quote creation for spare parts, communication with suppliers/vendors/customers, validating customer's commercial information, and inquiring about technical information of materials.

As a Senior Data Engineer at Gojek, you will design, build, and maintain data streaming solutions, troubleshoot data-related issues, collaborate with stakeholders, and stay updated with data streaming technologies. Strong programming skills in Java, real-time streaming experience with Apache Flink, and familiarity with Apache Kafka, Kubernetes, cloud platforms, and NoSQL databases are required. Good communication and problem-solving skills are essential.

As a Senior Data Engineer at H1, you will play a key role in shaping and delivering data engineering initiatives, work independently on complex challenges, collaborate with teams, mentor junior engineers, and maintain high engineering standards.

Seeking bright and resourceful individuals for the Data team at AlphaGrep, a quantitative trading and investment firm in Mumbai. Responsibilities include building infrastructure tools, optimizing data delivery, coordinating with global teams, and writing efficient code. Required skills include Python and SQL knowledge. Good to have experience with web crawling, Linux environment, and stock market data.

Seeking a skilled Senior Data Scientist (Prompt Engineer) to design prompts for Large Language Models, enhance model responses, develop AI interactions, collaborate with teams, and stay updated with AI technologies. Requires Bachelor's degree in computer science, 7-8 years of relevant experience, proficiency in Prompt Engineering, programming languages like Python, Java, or C++, and knowledge of AI technologies and NLP.

Join Cognite as a Senior Data Engineer in Bengaluru, India. Work on cutting-edge solutions in Power & Utilities, Energy, and Manufacturing industries. Collaborate with industry leaders and project managers to deploy digital solutions for informed decision-making.

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.

Assess client needs, convert business requirements into BI solutions, analyze technical issues, build data structures, manage development cycle, provide technical guidance, drive resolution of technology roadblocks.

Fractal.ai is seeking an AWS Data Engineer with 4-14 years of experience to work on AWS services such as Glue, Spark, Athena, S3, Redshift, DynamoDB, Lambda, Kinesis, EMR, Databricks, and Snowflake. Responsibilities include building end-to-end systems, working on Java applications, and collaborating on large-scale client projects.

Seeking a Senior Data Engineer to design, model, and implement data analysis solutions, support ETL pipeline modules, and work on large-scale data analytics platforms. Must have strong analytical skills, be a self-motivated learner, and have excellent communication skills. Experience with Java, JavaScript, Apache Spark, and data analysis is required.

Seeking a Senior Data Engineer to join the FOX Data and Commercial Technology Team in Bangalore, India. Responsible for designing and developing robust, scalable, and efficient Data Engineering solutions for a data-first media company. Collaborate with Agile teams, build data pipelines, focus on data quality, and automate data engineering processes.

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.

The Sr Data Engineer will be responsible for data munging, data analytics, building data transformation pipelines, and working with stakeholders to optimize data systems. The role also includes project management, stakeholder management, and gathering knowledge about the maritime industry and its relation to financial markets and shipping industry.

Lead Data Engineer providing technical guidance to data teams, developing advanced analytics solutions, and optimizing data value for partnered organizations. Ensuring standards are met and addressing unique challenges using programming, statistics, data analysis, and leadership.

Collaborate with team members to collect business requirements, design data models, develop dbt code, maintain clear documentation for data sources, and implement data ops principles. Must be proficient in SQL, experienced in data transformations and modeling using dbt, and have expertise in maintaining enterprise dimensional models.

As a Data Engineer at Databricks, you will work on impactful Big Data projects utilizing technologies like Apache Spark and Kafka. You will consult on architecture, design, and implementation to help customers maximize their data value. The role requires 4+ years of experience with Big Data Technologies and working independently on Big Data Architectures.

Senior Data Engineer role with 4 to 7 years of experience in data warehousing, data engineering, and data integration projects. Strong SQL background and expertise in GCP, Google BigQuery, and various cloud services. Responsibilities include designing and implementing data models, developing ETL workflows, and collaborating with stakeholders to meet business information needs.