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Collabera Digital
pune
Position Details: Job Title: Data Engineer Experience : 3+ years Location: Pune / Gurgaon Job Details and Requirements: Skills - Python, Spark, SQL, ETL, AWS JD - Developing, maintaining, and testing infrastructures for data generation. Building and maintaining optimal data pipelines. Assembling large, complex data sets. Ensuring data availabili
Job Source: Collabera DigitalCollabera Digital
Pune, Maharashtra, India
Position Details: Job Title: Data Engineer Experience : 3+ years Location: Pune / Gurgaon Job Details and Requirements: Skills - Python, Spark, SQL, ETL, AWS JD - Developing, maintaining, and testing infrastructures for data generation. Building and maintaining optimal data pipelines. Assembling large, complex data sets. Ensuring data availabili
Job Source: Collabera DigitalGlobal Pharma Tek
pune
Mandatory Skills - AWS Services,Data Engineer Python,SQL,Redshift. Description: We are seeking a versatile Data Engineer with a strong background in data analysis, proficient in Python and SQL, and adept at performance optimization. The ideal candidate will have hands-on experience with AWS services, particularly Redshift, and demonstrate a proac
Job Source: Global Pharma TekVirtusa
pune
AWS Data Engineer - CREQ188160 Description Responsibilities: Create and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions on AWS using AWS native services (such as GLUE, Lambda) or using data management technologies (such as Talend or Informatica) Design and optimize data models on AWS Cloud using AW
Job Source: VirtusaFusemachines
pune
About Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, United States, Canada, and Dominican Republic and more than 450 full-time e
Job Source: FusemachinesArrow Electronics
pune
Description : Responsibilities: Collaborate with stakeholders to understand business requirements and data needs, and translate them into scalable and efficient data engineering solutions using AWS Data Services. Design, develop, and maintain data pipelines using AWS serverless technologies such as Glue, S3, Lambda, DynamoDB, Athena, and RedSh
Job Source: Arrow ElectronicsSaaki Argus & Averil Consulting
pune
To succeed in this role, following professional experience will play a key role: · B.Sc. or M.Sc. degree in a quantitative field, for example computer science, physics, statistics, mathematics · More than two years of working experience in data analytics and algorithm development independently and as a team member. · Hands-on development experienc
Job Source: Saaki Argus & Averil ConsultingAtyeti Inc
Pune
Atyeti is a Global Managed Service provider, winner of the Inc 500 Award for fastest growing IT companies, with offices in US, UK, Switzerland, Singapore, Hong Kong, Malaysia, and India. We own and execute end to end projects in the Investment Banking world with clients such as Credit Suisse, Goldman Sachs, Bank Of America, CIMB, HSBC to name a few
Job Source: Atyeti Incpune
We are looking for a AWS Data Engineer who will be able to design and build solutions for one of our Fortune 500 Client programs, which aims towards building a Enterprise Data Lake on AWS Cloud platform and build Data pipelines by developing several AWS Data Integration, Engineering & Analytics resources.
Key Responsibilities
Perform technical assessment across Glue ETL and Lambda functions
Build the Python programs across the Glue ETL and Lambda functions
Build PySpark based data pipeline resources on AWS EMR Clusters & Glue ETL requiring in-depth knowledge on majority of Hadoop and NoSQL databases as well
Optimize performance of Spark applications in Hadoop using configurations around Spark Context, Spark-SQL, Data Frame, and Pair RDD’s
Create documentation for user adoption, deployments, runbook, and support client users forenablement or for any issues encountered.
Ability to monitor, troubleshoot and debug failures using AWS CloudWatch and Grafana
Perform code reviews with the team and enable them to develop code for complex scenarios
Liaise with all SDLC support teams to ensure seamless deployment to controlled environments and thus ensuring application robustness
Qualifications:
Bachelor’s Degree or equivalent in computer science or related and minimum 7+ years of experience
Certified on one of – Solution Architect OR Data Analytics Specialty by AWS
2+ years of hands-on experience on AWS S3, Glue ETL & Catalog, EMR, Lamba Functions,Athena & Kafka
Require 2+ years of hand-on experience on PySpark programming
Experience in writing complex SQL queries
Preferred expertise on MongoDB, Oracle & Hadoop (Hive, Hdfs, Yarn)
Require Technical Coordination skills to drive requirements and technical design with multipleteams
Financial services and Healthcare industry experience preferred
Requires aptitude to help build skillset within organization
Location: Pune / Hyderabad (Even for Chicago / New York)
AWS Data Engineer jobs in pune
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