4,513 technical data analyst jobs in India.

• Hybrid
• Contract

... Operations team, functional leads, project managers and all other stakeholders. With minimal guidance, support DM service delivery with comprehensive DM process and technical expertise in executing projects. Serve as the escalation point for unresolved data isuse with guidance, work with client data managers, vendors, internal team ...

$11 USD

... complex data schemas, structural bottlenecks, and analytical tradeoffs to both hardware engineers and business operations teams. Competitive Salary: Highly competitive base salary based on your experience and technical capabilities. Comprehensive Health Coverage: Company-sponsored healthcare plan for you and your dependents.

... affordable healthcare. Build and manage digital analytics datasets and reporting solutions Develop data pipelines and analytical reporting frameworks Support data validation, UAT, process improvements, and analytics initiatives. Experience & Qualification: Python Power BI & Dashboard Development Data Modeling & Data Validation ...

• Hybrid

... guidance, review modeling approaches, and mentor other data scientists or ML engineers - Strong communication and collaboration skills, with the ability to explain technical trade-offs and model outcomes to both technical and non-technical stakeholders Experience leading complex ML initiatives involving multiple models, cross-functional ...

... Bachelor's degree (preferably in Computer Science, Mathematics, Data Science, or a related field). - 3-6 years of overall experience in software development and data analysis. - Hands-on experience in Python for application development. - Strong proficiency in SQL for data analysis and query generation. - Experience with hosted ...

... can own data science engagements end to end, from shaping the problem with the client to delivering and operationalizing ML solutions. You will lead a team of data scientists, guide technical decisions, and help grow ProcDNA's data science practice through client relationships and new capabilities. Work with clients to translate ...

• Hybrid
• On-site

700k

... helping improve reliability, performance, security, and developer productivity. This is an opportunity to solve meaningful engineering challenges, grow your technical ownership, and collaborate with experienced engineers across the development lifecycle. Design and build scalable backend services, REST APIs, integrations, ...

... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...

• Full-time

... (Extract, Transform, Load) scripts to move data across various systems. Database Management: Write basic SQL queries, create tables, and interact with PostgreSQL databases to support data storage and retrieval. Data Orchestration: Help schedule, monitor, and troubleshoot automated data workflows using Apache Airflow. Stream ...

• Full-time

... MWAA, AWS Step Functions , or similar orchestration tools. Collaborate with Data Analysts and Data Scientists to deliver clean, structured, and analytics-ready datasets. Optimise data pipelines for performance, scalability, reliability, and AWS cost efficiency . Integrate data from multiple internal and external systems while ...

... data ingestion pipelines leveraging Databricks, Airflow, Kafka, and Terraform. Ensure high performance, reliability, and efficiency by optimizing large-scale data pipelines. Develop data processing workflows using Databricks, Delta Lake, and Spark technologies. Maintain and improve the Data Lakehouse, utilizing Unity Catalog ...

• Contract

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80k

... medical data, and contribute to the advancement of innovative treatments and therapies. What You Will Do: You will lead on clinical research tasks requiring technical depth, with a focus on quality and continuous improvement. Key responsibilities include: - Create and maintain detailed data management plans and documentation, ...

• Full-time

... reports Develop L3-level project plans with task details, milestones, dependencies Participate in early-stage design and feature definition Communicate complex data insights to non-technical stakeholders Collaboration & Integration Work across multiple engineering teams on prototype integration Support integration of proven ...

• Full-time
• Contract

... tools that can further automate the software development, testing and deployment workflow. Strong academic background – minimum of a bachelor’s degree in a technical or quantitative field. Strong data science background, with experience turning noisy, real-world data into validated, well-behaved signals or models. Rigorous ...

... build robust data pipelines, data lakes, and marts to support business analysts and data scientists. Key Responsibilities Modern Data Platform Development: Build data lake components on cloud-based platforms Design and develop data marts for business analysts and data scientists Data Engineering & Pipelines: Design data pipelines ...

• Hybrid

... queries and stored procedures to handle large-scale data transformations.- Strong experience in building and maintaining robust ETL/ELT workflows using modern data engineering tools and frameworks.- Exceptional communication skills with the ability to articulate technical concepts to non-technical stakeholders and influence ...

Job Description – Senior Data Engineer / Platform Re-Engineering Lead (Azure Synapse & Databricks Migration) Role Overview We are looking for a highly experienced Senior Data Engineer to lead the re-engineering of an existing enterprise data platform built on Azure Synapse Analytics. The role requires deep technical seniority ...

• Full-time

... and Terraform. Build and expose the data lake/lakehouse so teams can understand business and product performance and make better decisions. Design and evolve a data platform that enables scientists and analysts to query, model, and ship features and product metrics. Maintain and fix existing ETLs, improving reliability, observability, ...

• Hybrid

... and analyzing data stored in Amazon S3.- Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and scalability.- Collaborate with data architects, analysts, developers, and business stakeholders to understand data requirements.- Ensure data quality, security, governance, and best practices across ...