Data Engineer - AWS Platform in Pune, India is listed on Jobeax. Browse 30,000+ vacancies available.
About the Role:We are looking for an experienced AWS Data Engineer with 6 - 8 years of hands-on experience in designing, developing, and maintaining scalable data engineering solutions on AWS. The ideal candidate should have strong expertise in Python, PySpark, SQL, and AWS data services, with experience building robust ETL pipelines and Cloud-based data https://jobeax.com/link/JcPnJNS8HEL7JdHn Responsibilities:- Design, develop, and maintain scalable data pipelines and ETL workflows on AWS.- Develop efficient data processing solutions using python and pySpark.- Write complex and optimized SQL queries for data extraction, transformation, and analysis.- Build and manage ETL pipelines using AWS Glue.- Work with AWS Glue Data Catalog for metadata management and data discovery.- Design and implement serverless data processing solutions using AWS Lambda.- Use Amazon S3 for scalable data storage and data lake solutions.- Orchestrate and automate workflows using AWS Step Functions.- Implement event-driven architectures using Amazon EventBridge.- Use Amazon Athena for querying and analyzing data stored in Amazon S3.- Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and scalability.- Collaborate with data architects, analysts, developers, and business stakeholders to understand data requirements.- Ensure data quality, security, governance, and best practices across data engineering https://jobeax.com/link/Gpaa4oyRTNYXQU0V Stack:- Python, PySpark, SQL, AWS Glue, AWS Glue Data Catalog, AWS Lambda, Amazon S3, AWS Step Functions, Amazon EventBridge, Amazon https://jobeax.com/link/TvfOgTReNTFVgNXo Skills:- Experience working with AWS Data Lake architectures.- Knowledge of data partitioning, file formats such as Parquet/Avro, and data optimization techniques.- Experience with CI/CD and DevOps practices for data pipelines.- Understanding of data security, IAM, monitoring, and governance on AWS.- Good problem-solving and communication https://jobeax.com/link/LGmb3dSeAFrVWm6i Requirements:- Notice Period: Immediate to 15 Days.- Experience: 6 - 8 Years.- Work Mode: Hybrid. (ref:hirist.tech)
... https://jobeax.com/link/uquJtnmzNQbyMgrx and Kubernetes are FactSet's primary containerized compute platforms, running thousands of apps with large-scale clustered compute resources in FactSet data centers and cloud hyperscalers. You will manage a team of Compute Platform Ops Engineers to provide first-tier support, review and implement component upgrades ...
... 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 ...
... 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 ...
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-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.
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 ...
... 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, ...
... 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 ...
... 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 ...
... 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
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, ...
... 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 ...
... Senior Data Engineer with strong hands-on experience building and supporting data solutions on AWS . The role requires solid experience with Amazon Redshift, S3, AWS Glue, Amazon AppFlow, Lambda, and SQL . You will work on data ingestion, transformation, data pipelines, data warehouse solutions, and integrations across different ...
... Collaborate with the Data Architect to understand data platform requirements and design specifications. Assist with data modelling and optimization tasks. Document the data platform architecture, processes, and best practices. Stay up to date with the latest trends and technologies in full stack development, data engineering, and ...