4,189 it data analyst jobs in India.

... pipelines and data platforms. The ideal candidate should have strong expertise in SQL, Databricks, and Azure Data Factory (ADF. and hands-on experience working with large datasets in a cloud environment. Job Title Junior Data Engineer Job Description We are looking for a skilled Data Engineer with 2-4 years of experience ...

... and implement data transformation services and data flows. Ensure technical design and implementation are in line with the application architecture and meet quality requirements (e.g., performance, reliability, availability) Implement software engineering practices to ensure the quality, performance, and maintainability of ...

... orchestration and observability for data systems. - Knowledge of data governance, metadata/catalogue tools, lineage and data quality frameworks (i.e. Strong grasp of security, data privacy and regulatory requirements (e.g., GDPR, data residency). - Professional certification such as Databricks or AWS (Solutions Architect / Specialty). ...

... loading (ETL/ELT) processes. - Must have experience with batch data processing (scheduling, dependencies, failure recovery, performance tuning). - Knowledge of data warehousing concepts and familiarity with relational databases. - Experience working with structured and semi-structured data (CSV, Parquet, JSON, etc.). - Strong ...

Requirements Strong programming skills in Python and SQL. Experience with data processing leveraging programming skills in Python and Spark. In-depth understanding of the Kafka platform for (real-time) data ingestion and processing of high-volume data. Design and architect data flows and data management in a Cloud environment ...

... insights into customer acquisition, operational efficiency and other key business performance metrics. Work with project team including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Create data tools for analytics and data scientist ...

... using the following software/tools :Experience with big data: Hadoop, Map Reduce, Hive, Spark, Kafka, Airflow etc - Experience with relational SQL and NoSQL databases: MySQL, Postgres, MongoDB, HBase, Cassandra etc - Experience with cloud Data platform: AWS, Azure-HDInsight's, GCP, CDP - Experience with real-time data ...

... and mitigate data risks throughout the data lifecycle, including protection, retention, storage, use, and quality l Partner with technology teams to capture data sources, formats, and data flows so that data can be validated for downstream analytics and reporting l Investigate and document potential data quality issues, ...

... modern data architectures that balance scalability, performance, and maintainability Implement data quality checks, lineage, and monitoring for enterprise-scale datasets Work closely with product, analytics, AI/ML, IT, and business teams to understand data needs and enable data-driven initiatives Interface with stakeholders ...

... analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch ...

... components, APIs, and developer tools Synthesize requirements from business/product teams and translate them into system APIs, developer interfaces, and platform capabilities Work with architects and engineering leads to balance reliability, performance, technical debt, and new features Design solutions for data quality, governance, ...

... infrastructure for greater scalability, etc. Work with stakeholders, including the Technical Architects, Developers, Product Owners, and Executives, to assist with data-related technical issues and support their data infrastructure needs. Create tools for data management and data analytics that can assist them in building ...

... thousands of products and services; we are the first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence. Overview of the role In Data Science we work with the data from fast changing consumer goods world. Data comes both from standardized databases and ...

... ensuring the availability, performance, and quality of critical data https://jobeax.com/link/boDgS4SCBwnLKaXL and maintain scalable data pipeline and database architectures to support operational and analytical workloads. Develop and optimize data solutions using relational and NoSQL databases while ensuring data quality, consistency, ...

... storage systems like HDFS Perform data ingestion, transformation, and processing (ETL/ELT) Optimize performance of Spark jobs and Hadoop workloads Collaborate with data engineers, analysts, and business teams Ensure data quality, reliability, and scalability Troubleshoot and resolve performance bottlenecks Required Skills ...

... data. What You Will Do: You will take responsibility for clinical data science deliverables, applying your skills to ensure quality and efficiency. Key responsibilities include: - Developing and validating statistical programming code to support data analysis and reporting for clinical trials. - Collaborating with data scientists ...

... visualization, with the ability to support the platform and dashboards. - Proficiency in Alteryx for data blending, preparation, and ETL processes. - Hands-on experience with Splunk for data mining, log analysis, and operational intelligence. - Knowledge of Sinequa or other cognitive search tools to analyze unstructured data. - Agile ...

... design and construction to installation and ongoing maintenance of large-scale processing systems. Drive data quality initiatives, ensure seamless data accessibility for analysts and data scientists, and maintain strict compliance with data governance and regulatory requirements. Align data engineering practices with business ...

... working with large data sets with hands-on technology skills to design and build robust data architecture - At least 6+ years of hands-on experience in Spark/BigData Tech stack - Analytical processing on Big Data using Spark - At least 4+ years of experience in Scala. Experience with Python will be a plus. - Hands-on administration, ...

... challenges, and to tell compelling stories with data - An ability to demonstrate a passion for the digital marketing ecosystem, and an understanding of the role that data plays within it - Previous experience working with data and technology Experience with digital marketing platforms and the data they generate, in particular Google ...