2,696 big data jobs in India.

... expertise in database architecture, replication, clustering, performance tuning, and high-availability setups, along with hands-on experience in developing complex database applications, triggers, and stored procedures. Key Responsibilities Database & Cluster Management: Design, develop, and maintain databases and database applications ...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Apache Spark, ...

We are looking for a Data Engineer to join our team and play a key role in building, optimizing, and managing data pipelines. You will work closely with Data Analysts and Business Functions to ensure seamless data processing, reporting, and dashboarding. Our tech stack includes BigQuery, Snowflake, Airflow, Stitch/Fivetran, ...

Data Scientist Bangalore | 3+ Years Experience Role Overview Looking for a Data Scientist with strong expertise in Machine Learning, Python, SQL, and Optimization to build scalable, production-ready analytical solutions. Key Skills Machine Learning – Regression, Classification, Clustering, Forecasting, Recommendation Systems ...

... hands-on experience in data science.- Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, TensorFlow/PyTorch.- Expertise in SQL for data extraction, transformation, and analysis.- Proven experience with PySpark or distributed data processing frameworks.- Deep understanding of machine learning and ...

As a Database Administrator, you will administer, develop, test, or demonstrate databases. Perform many related database functions across one or more teams or clients, including designing, implementing and maintaining new databases, backup/recovery and configuration management. Install database management systems (DBMS) ...

... Kinesis.- Modern Data Stack : Design and scale a unified Lakehouse/Warehouse (e.g., Databricks, Snowflake) to handle both streaming telemetry and complex enterprise data (ERP, CRM, MES).- Data Pipelines : Build automated, resilient ETL/ELT workflows using tools like Apache Airflow, dbt, and PySpark to ensure high data quality ...

Required Skills :- Solid hands-on experience in various databases, data mining and data analysis methods, utilizing advanced data tools, writing complex SQL queries.- Data preparation, data analysis, identify insights from raw data.- Analyses metrics, key indicators and other available data sources to discover root causes ...

... Spark/PySpark.- Build and manage data workflows using Azure Data Factory, Azure Databricks, and Synapse Analytics.- Design and implement ETL/ELT processes for data ingestion and transformation.- Integrate data from multiple sources and ensure reliable data movement across platforms.- Optimize data processing jobs, queries, ...

... for batch and real-time data processing. Build and optimize ETL/ELT workflows to collect, transform, and load data from multiple sources. Develop and maintain data models, data warehouses, and data lakes. Ensure data quality, consistency, accuracy, and reliability across data pipelines. Optimize data processing workflows ...

... strategies. Develop and maintain systems using Python, SQL, PySpark, and Django for front-end development. Work directly with clients and end-users and address their data needs Utilize databases and tools including and not limited to, Postgres, Redshift, Airflow, and MongoDB to support our data ecosystem. Leverage AI frameworks ...

... external business functions to ensure global master data is maintained at the highest quality level. Key Performance Measures Meeting Project Milestones Master Data Accuracy On time delivery of Data analysis to stakeholders Knowledge, Skills And Experience Data Analysis & Problem-Solving Ability to analyze large datasets, ...

... high availability.- Experience in performance monitoring and tuning.- Knowledge of backup, restore, and disaster recovery processes.- Good troubleshooting and database administration skills.- Understanding of security and access management for database platforms.- Ability to work with application and infrastructure teams. ...

... helping enterprises solve complex data, AI and cloud transformation challenges. Founded in 1991, Impetus has grown into a global engineering organization serving data-driven enterprises and Fortune 100/500 clients. Its capabilities span cloud engineering, data engineering, enterprise AI, application modernization, DevOps and ...

... debugging, and code quality best practices. Good understanding of data engineering fundamentals and advanced concepts. Experience building scalable and fault-tolerant data pipelines. Strong knowledge of CI/CD, automated testing, and production deployments. Understanding of Medallion Architecture, data modeling, data quality, and ...

... Software Engineering / Data Engineering Fundamentals Basic software design principals Unit testing Version control High performance code to work at sc Skillset: Data Analyst Exp: 5+ Yrs Location : PAN India SQL DDL and DML skills on structured and non-structured data base Python- Coding for data parsing, manipulation, aggregation ...

... proficiency in SQL. - Experience with data visualization of large data sets using BI systems (Qlik Sense, Sisense, Tableau, Looker, etc.). - Experience working with data warehouse/data lake tools like Athena / Redshift / Snowflake /BigQuery. - Knowledge of Python - An advantage. - Experience building ETL processes – An advantage. ...

... Senior Data Engineer You will play a pivotal role in driving business outcomes through effective data management and analysis. Enhancing Decision Making with Data Ensuring Data Security and Compliance Future Trends in Data Engineering Design and develop highly reliable and scalable data pipelines and data platforms with ...

... knowledge and troubleshooting capabilities. Database backup and recovery. Database performance tuning and optimization. High availability and disaster recovery. Database security and access management. Database monitoring and capacity management. Database patching and upgrades. Data migration and database maintenance. Infrastructure ...

... facilitating requirements sessions, managing expectations, and translating ambiguity into clear specifications. - Exposure to data governance programmes, metadata management, or compliance reporting environments. Technical skills - SQL for data validation, exploration, and requirements verification - Data contracts (YAML-based) ...