2,499 big data jobs in India.

... capacity planning, cost optimization, and performance tuning. - Leverage and manage AWS services like Bedrock, Sagemaker, S3, Redshift, Athena, Kinesis, Lambda, Data Lake etc. - Implement data pipelines using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools. - Build data ...

Celebal Technologies is a leading Solution Service company that provide Services the field of Data Science, Big Data, Enterprise Cloud & https://jobeax.com/link/QVLhmNzaEhBG8ZTE are at the forefront of leveraging cutting edge technologies to drive innovation and enhance our business https://jobeax.com/link/or26omectpEQm8Bt ...

Celebal Technologies is a leading Solution Service company that provide Services the field of Data Science, Big Data, Enterprise Cloud & https://jobeax.com/link/QVLhmNzaEhBG8ZTE are at the forefront of leveraging cutting edge technologies to drive innovation and enhance our business https://jobeax.com/link/or26omectpEQm8Bt ...

... scikit-learn, pandas, NumPy) and R, along with strong SQL skills for data extraction and manipulation.- Experience with cloud platforms (AWS, Azure, or GCP) and big data technologies (e.g., Spark, Hadoop) for scalable data processing and model deployment.- A proven ability to translate complex business problems into data ...

... scikit-learn, pandas, NumPy) and R, along with strong SQL skills for data extraction and manipulation.- Experience with cloud platforms (AWS, Azure, or GCP) and big data technologies (e.g., Spark, Hadoop) for scalable data processing and model deployment.- A proven ability to translate complex business problems into data ...

... desired) Experience with AWS/Azure/Google Cloud, including familiarity with services such as S3, EC2, Lambda, Glue Strong SQL skills and experience with relational databases such as MySQL, PostgreSQL, or Oracle Experience with big data tools like Hadoop, Spark, Kafka Demonstrated knowledge of data structures and algorithms Basic ...

... Ability to guide and mentor other team members. - Strong stakeholder engagement and influencing skills. - Pragmatic and collaborative team player. - Experience with Databricks, data pipelines, and CI/CD. - Proficiency in Python, SQL, and big data technologies in cloud environments. - Pragmatic and collaborative team player.

... technical teams. - Technical Skills: - Expertise in data modeling, data warehousing, and database design (both relational and NoSQL). - Strong proficiency in data engineering, including experience with ETL tools, data integration frameworks, and big data technologies. - Hands-on experience with cloud data platforms (e.g., ...

... architecture Big Data solutions using Spark - 3+ years experience in working with engineering resources for innovation. - 5+ years experience in understanding Big Data events flow pipeline. - In depth experience in Data lakes and related ecosystems. - In depth experience in giving requirements to build a scalable architecture ...

... structures, algorithms, design concepts, and programming practices. - Data modelling for OLAP workloads, Scalability design and query optimisations - Understanding of data consistency at cloud scale, eventual consistency models - Hands on experience with Big data tools and frameworks (Datalake / Lakehouse, ETL) preferably in public ...

... within the Architecture space Must have Hands on experience in RDBMS in any one of the databases like Teradata/ MS SQL Server/Oracle/ IBM DB2/ Mongo DB along with Data Lineage, Data integrity and Data Analysis skills Technical skills in technologies such as MongoDB, GCP Big Query, and knowledge of APIs. Previous experience in ...

... decisions through well-structured documentation and stakeholder routines. Bachelor's degree with 6+ years of experience in data delivery, analytics enablement, data governance, or adjacent roles Proficientin SQL to analyze data, validate quality, and support investigations across relational or big data platforms Communicate ...

... competitive advantage. Band: M3/M4 (6 to 14 years) Should have experience in PySpark and Scala + Spark for 4+ years (Min experience). Proficient in debugging and data analysis skills. Should have Spark experience of 4+ years Should have understanding of SDLC and Big Data Application Life Cycle Should have experience in GIT ...

... work entirely from our Hyderabad office (Monday - Friday). Experience with Generative AI and Large Language Models (LLMs). Hands-on experience with SQL/NoSQL databases, data warehouses, and Big Data technologies. Familiarity with cloud platforms (AWS) and containerization (Docker, Kubernetes). Skills: scikit-learn,pytorch,aws,generative ...

... work entirely from our Hyderabad office (Monday - Friday).Good-to-Have Skills : - Experience with Generative AI and Large Language Models (LLMs).- Hands-on experience with SQL/NoSQL databases, data warehouses, and Big Data technologies.- Familiarity with cloud platforms (AWS) and containerization (Docker, Kubernetes). (

... constraints. - Operate with high ownership in a lean team environment while influencing broader system architecture. - Shape technical direction across microservices, big data systems, and real-time decision platforms. What You Will Do : - Lead, hire, and develop a high-performing team of backend engineers working on supply chain ...

... should have an experience of 5 years in DB2 database administration with in depth knowledge of DB2 database architecture and should have worked on latest versions of db2 databases like 10 ~Data Management - DB- Database- MySQL,Technology- Big Data - NoSQL- MongoDB,Technology- Database Administration- PostGreSQL- PostGreSQL

... essential for presenting complex analyses in a concise and impactful manner. Strategic thinking and the ability to build credibility with the Commercial Leadership Team are key. Familiarity with scientific areas especially oncology is a plus. Experience working with big data technologies, including Spark, is desirable.

... Azure Data Factory (for ETL orchestration) and Azure Databricks (for data processing with Spark) is essential. Strong SQL skills and experience writing complex data transformation logic are required; experience with programming languages like Python or Scala for data engineering is a plus. Familiarity with big data performance ...

... of experience working in GCP-based Big Data deployments (both Batch and Real-Time), specifically leveraging BigQuery, Bigtable, Google Cloud Storage, Pub/Sub, Data Fusion, Dataflow, Dataproc, and Airflow. Data Design: Proven history of designing and delivering comprehensive data lake and data warehousing solutions. Data ...