Data Engineer - AWS Platform in Pune, India

... and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. SIEM SOAR/Platform Engineer The ideal candidate will have extensive experience with Palo Alto Cortex XSOAR (formerly Demisto) and a strong background in security automation and ...

• Full-time

... in DevOps practices, methodologies, and tools, such as CI/CD pipelines, configuration management, and containerization. Experience with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code (e.g., AWS Experience along with AI/ML Basics is a plus Enthusiastically follow technology trends, software engineering ...

Company : Very big MNCRole : GCP Data EngineerExperience : 8 - 15 yrsNotice Period : 30 daysLocation : PAN INDIATech Stack :- GCP data engineer- Pyspark- Dataflow- Dataproc- BigQuery- AirflowKey Responsibilities :- Design, develop, and optimize endtoend data pipelines using PySpark, Dataflow, and Dataproc- Implement data ingestion, ...

• On-site

... on-premises to cloud Spark code optimization and Medallion Architecture. Strong knowledge of Databricks and its components, including Delta Live Table (DLT) pipeline implementations. Familiarity with AWS services (experience with additional cloud platforms like GCP or Azure is a plus). AWS/GCP/Azure Data Engineer Certification.

... databases and data stores. Understanding of SDLC, CI/CD, code reviews, testing, and software architecture best practices. Preferred Candidate Profile: A hands-on Data Engineer with strong AWS data platform experience, capable of delivering scalable, reliable, and efficient data solutions in a fast-paced environment. Provide ...

$11 USD

... consistency and accuracy across the network. Define and maintain strict access control, governance, and data privacy standard practices across the global insights platform. Engineering Hygiene & DevOps Packaged and deploy data services using Docker and Kubernetes. Maintain elegant CI/CD automation pipelines for data code deployments ...

... 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 environments and cloud platforms such as AWS, Azure, or similar (preferred). - Ability to work independently ...

• Hybrid
• On-site

700k

Build the software services that power products, platforms, and better business decisions. As a Software Engineer II, you’ll develop scalable backend applications, APIs, integrations, and AI-enabled features using Python and cloud technologies. You’ll contribute to solutions from design through production, helping improve ...

• Full-time

... how to write geo/spatial queries. Version Control: Basic understanding of tools like Git/GitHub. Cloud Basics: Familiarity with cloud platforms (AWS, GCP, or Azure). OS: Comfortable with basic Linux/Unix command-line operations. Portfolio: Any personal or academic projects showcasing data pipelines or data processing.

... managing this platform, utilizing leading technologies like Databricks, Delta Lake, Spark, PySpark, Scala, and the AWS suite. We are actively seeking skilled Data Engineers to join our team and contribute to scaling our platform across the organization. Create and manage robust data ingestion pipelines leveraging Databricks, ...

• Full-time

... Work Type: Full Time At VIDA we're building the future of digital identity. As a Data Engineer you'll work across the stack—from platform and infrastructure to data pipelines and end-user tooling. You'll help us modernize our batch ETLs and lead our push into streaming and real-time fraud detection. We run on AWS and make ...

... BigQuery, Cloud Functions, Composer, GCS Proficient hands-on programming experience in Spark/Scala (python/java) Proficient in building production level ETL/ELT data pipelines from data ingestion to consumption Data Engineering knowledge (such as Data Lake, Data warehouse - Redshift/Hive/Snowflake, Integration, Migration) ...

We are seeking a Data Engineer to join our team. The role will involve building and maintaining data pipelines and collaborating closely with stakeholders. Key responsibilities Design and develop scalable data pipelines using AWS services. Implement ETL processes with AWS Glue, Lambda, and DBT. Work with PySpark and SQL ...

... similar). Experience in building data pipelines or ETL processes. Familiarity with REST APIs and backend frameworks (Flask/Django is a plus). Understanding of data structures and algorithms. Good To Have Experience with big data tools (Spark, Hadoop). Knowledge of cloud platforms (AWS, Azure, or GCP). Exposure to machine ...

... understanding of Apache Airflow and ability to design and manage complex DAGs. - Solid SQL skills and familiarity with data warehouse platforms (e.g., Snowflake, Redshift, BigQuery). - Familiarity with version control tools (Git), CI/CD pipelines, and Agile methodologies. - Exposure to cloud environments like AWS, GCP, or Azure

• On-site

... (must-have), python - Apache Spark - Strong coding fundamentals and engineering principles - Azure or on-premises Hadoop ecosystem experience - 5+ years of experience in Data Engineering - Python * SQL * AWS / Azure / GCP Preferred (Bonus) Skills: - Kubernetes exposure - Experience with multiple cloud platforms (AWS, Azure, GCP)

... collaborate with start-ups to develop solutions for productivity optimization, workforce management, loyalty management, payments systems, and more. Senior Platform Engineer The Senior Platform Engineer position will require heavy hands-on work on one or more public cloud platforms leveraging several PaaS services and marketplace ...

Job Description – Data Engineer Experience: 5–7 Years Role: Sr. Data Engineer Department: Data Engineering / Product Engineering Role Overview We are looking for an experienced Data Engineer with 5–7 years of hands-on experience in ETL/ELT, database engineering, Big Data processing, and complex bi-directional data integrations ...

... (e.g., model/design summaries or operational checklists) before use, escalating when uncertain and following data handling requirements. Strong proficiency in data science and analytics tools: Python, R, SQL, Spark, and cloud data platforms (AWS, Azure, GCP). Experience with data visualization and reporting tools (e.g., ...