Top Data Engineer Jobs in Mumbai, MH

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.

Seeking a Senior Data Engineer to design and implement data solutions, develop data pipelines, optimize data models, and collaborate with teams for seamless integration and visualization. Mentor junior team members and stay updated with industry best practices.

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.

Be an integral part of large scale client business development and delivery engagements, develop software and systems for end-to-end execution, work across all phases of SDLC, build complex technology projects, expertise in Microsoft Azure and big data technologies, enable analytics using cloud technology and ML Ops, and contribute to deep architecture discussions around cloud systems and applications.

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.

Looking for a Senior Data Engineer to lead the design, implementation, and optimization of a financial intelligence platform. Responsibilities include developing and operationalizing market data pipelines, ensuring platform scalability and efficiency, and driving continuous improvement initiatives. Must have 5+ years' experience in data engineering with expertise in cloud data solutions and implementations. Bachelor's or Master's degree in Computer Science or related field is required. Knowledge of GCP products, serverless solutions, agile methodology, and financial market data is a plus.

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.

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.

Lead and drive the execution of multiple business plans and projects related to data engineering. Implement new architectural patterns and promote high standards of code quality and system reliability. Must have strong hands-on experience with Hadoop, Hive, Apache Spark, and expertise in cloud computing platforms such as Google Cloud Platform (GCP).

Senior Data Engineer responsible for providing high-quality data sets, building data products, developing data models, and maintaining data pipelines. Collaborates with various teams and ensures data solutions meet SLAs. Requires expertise in Big Data technologies, SQL optimization, ETL processes, AWS ecosystem, and programming languages like Python, Java, and Scala.

Participates as a senior member of data development team, completes data analysis, and develops batch, real-time, and streaming data integration codes independently. Designs, prepares, and automates test cases, applies technical knowledge to maintain data engineering, and implements complex infrastructure and software solutions using company and open-source technologies.

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.

Seeking a highly skilled Senior Big Data Engineer with experience in developing and scaling stream and batch processing systems using GCP technologies. Responsibilities include building reliable code, implementing automation best practices, and leveraging various tools. Remote work environment with a focus on problem-solving and communication.

Lead Data Engineer with 7+ years of experience in managing and optimizing big data pipelines, architectures, and data sets. Proficient in Azure data factory, Azure Synapse, Power Apps, Logic Apps, relational SQL databases, and visualization tools like PowerBI and Tableau. Experience working in a dynamic environment and supporting cross-functional teams. Good academic track record preferred.

As a Sr. Data Engineer, Analytics at Gracenote, responsible for deriving insights from Entertainment datasets and production systems, creating dashboards, analyzing data, and providing data-driven recommendations to leadership.

Seeking a Senior Data Engineer with 5+ years of experience in data engineering. Responsible for designing, developing, and maintaining data pipelines using PySpark, Python, ETL, and Hadoop. Experience in Shell scripting and banking domain is required. Office location is in Vikroli, Mumbai.