2,502 big data python jobs in India.

... engineering practices, automation, and development efficiency. Qualification and Experience: •2-4 years of experience in software design and development using Python, C# • B.E./B.Tech./M.Tech. in Computer Science, Electronics, or a related discipline. • Strong understanding of object-oriented programming and software design ...

... models to solve complex data problems. - Analyze large datasets to identify trends, patterns, and insights. - Write efficient and maintainable code in Python for data manipulation and model building. - Utilize SQL for data extraction, transformation, and database management. - Apply statistical methods to interpret data and ...

... patterns and anomalies, analyzing historical data for trend identification and forecasting, investigating data discrepancies, providing user training and support on data analysis tools, communicating findings through compelling visualizations, supporting data projects, and ensuring data accuracy and integrity. Conduct data analysis ...

Job Role: Senior Data Scientist Experience Required : 6–9 years Swiggy is India's leading on-demand delivery platform, leveraging data science and cutting-edge AI to redefine convenience for millions of customers. The Food-DS team works at the intersection of machine learning, advanced architecture, and applied research ...

... procedures) - Cloud Data Platforms: Hands-on experience with cloud environments like Snowflake and AWS (S3, AWS Sage maker, Athena) - Scripting: Proficiency in Python for advanced data processing, automation and custom visuals. - Performance Tuning: Experience with tuning tools such as DAX Studio or Tabular Editor is preferred

... and deliver impactful solutions Requirements ~3+ years of experience in data engineering, analytics, or BI-focused roles, Strong proficiency in SQL and NoSQL databases, Experience with Metabase, Mixpanel, or similar BI tools, Proficiency in Python and experience with ETL frameworks, Understanding of data modeling and business ...

Requirements What You Will Do Analyze Business Requirements. Analyze the Data Model and perform GAP analysis with Business Requirements and Power BI. Design and model Power BI schema. Transform data in Power BI, SQL, or Microsoft Fabric. Create DAX formulas, reports, and dashboards. Strong experience with Power BI or Microsoft ...

... Aug 26 - Planning for 2 skills GCP Data engineer - 11 positions , Band E - 8+ yrs Data Analyst - 17, Band E - 8+ yrs Location : Chennai/ Hyderabad/Bangalore Data analyst - JD Advanced SQL (BigQuery ideally) for querying and data manipulation Data quality checks, validation and reconciliation Working knowledge of data warehouse ...

... https://jobeax.com/link/nnF4EyWTLvU0XkJo :- 8+ years of total experience in data engineering or software engineering.- 3+ years of dedicated hands-on experience with the Databricks platform in production environments.- Strong background in big data engineering, cloud data platforms, and distributed https://jobeax.com/link/MxHKUlBFpBdSEcfJ ...

... drive data-driven decisions at Amazon scale. 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, ...

... delivery with technical excellence.- Create technology and tool evaluation https://jobeax.com/link/nRhKJdDFbgW6SVjl Requirements : - Strong hold on Algorithms and Data Structures.- Exposure to C/C++ programming, STL, and Linux.- Experience in writing multi-threaded applications with good scalability.- Exposure to Exception Handling, ...

... and digital trust capabilities. Our flexible and modularized methodology has been utilized by numerous global organizations to build a broad global privacy, data protection, and/or digital trust operations and includes the following phases and activities. Data lifecycle management Policy fine-tuning Cyber Data Operate ...

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... pipelines. - Strong SQL and solid Python — the everyday tools of this role. - Experience with ETL/ELT and orchestration tools such as Airflow, dbt, Glue, or Data Factory. - Hands-on experience with a cloud data warehouse such as Snowflake, Redshift, BigQuery, or ClickHouse, including data modeling for analytics. - Experience ...

... Experience architecting and operationalizing ETL/ELT pipelines with Spark, PySpark, or SparkSQL at scale. - Proficiency in SQL and at least one scripting language (Python preferred). - Experience with data modeling, warehousing, and building batch and near-real-time pipelines. - Experience with workflow orchestration tools (Airflow, ...

... robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: - Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. - Database Management: Managing databases, ...

... Knowledge of data replication, partitioning, and high-availability configurations.- Experience implementing security controls and auditing mechanisms for sensitive data.- Scripting skills in Python, Bash, or https://jobeax.com/link/vdZtURYtMEMYj7jq : - Experience in fintech or regulated financial services environments.- Familiarity ...

... preferred such as working in a temporary student employment, intern, co-op, or other extracurricular team activities. Knowledge of the latest technologies in data engineering is highly preferred and includes: Exposure to Big Data open source SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework ...

... experience in data engineering Open to candidates from any academic background with relevant experience Technical Expertise Proficiency in building scalable data pipelines and warehouses Experience with Python, Scala, PySpark, or PL/SQL Hands-on experience with cloud platforms (e.g., AWS, S3, Redshift, Glue, etc.) Familiarity ...

... data ecosystems—where data resides, flows, and how it is accessed. - Troubleshoot and resolve complex technical issues related to collaboration platforms and data access. - Support investigations, audits, and regulatory requests through targeted data retrieval and analysis. - Automate data processes and workflows using ...