AWS Data Engineer

Job Description

KPMG in India, a professional services firm, is the Indian member firm affiliated with KPMG International and was established in September 1993. Our professionals leverage the global network of firms, providing detailed knowledge of local laws, regulations, markets, and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, and Vadodara. KPMG in India offers services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focussed, and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. KPMG Advisory professionals provide advice and assistance to enable companies, intermediaries, and public sector bodies to mitigate risk, improve performance, and create value. KPMG firms provide a wide range of Risk Advisory and Financial Advisory Services that can help clients respond to immediate needs as well as put in place the strategies for the longer term. Job Title: Consultant, Senior Consultant Skills: AWS Data Engineer Location: Bengaluru & Mumbai Role & Responsibility Evaluating, developing, maintaining and testing data engineering solutions for Data Lake and advanced analytics projects. Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources Distil business requirements and translate into technical solutions for data systems including data warehouses, cubes, marts, lakes, ETL integrations, BI tools or other components. Creation and support of data pipelines built on AWS technologies including Glue, Redshift, EMR, Kinesis and Athena Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the AWS platform. Optimize data integration platform to provide optimal performance under increasing data volumes Support the data architecture and data governance function to continually expand their capabilities Experience in development of Solution Architecture for Enterprise Data Lakes (applicable for AM/Manager level candidates) Should have exposure to client facing roles Strong communication, inter-personal and team management skills Education Qualification and Experience Proficient in any object-oriented/ functional scripting languages: Pyspark, Python etc. Experience in using AWS SDKs for creating data pipelines – ingestion, processing and orchestration. Hands on experience in working with big data on AWS environment including cleaning/transforming/cataloguing/mapping etc. Good understanding of AWS components, storage (S3) & compute services (EC2) Hands on experience in AWS managed services (Redshift, Lambda, Athena) and ETL (Glue). Experience in migrating data from on-premise sources (e.g. Oracle, API-based, data extracts) into AWS storage (S3) Experience in setup of data warehouse using Amazon Redshift, creating Redshift clusters and perform data analysis queries Experience in ETL and data modelling on AWS ecosystem components - AWS Glue, Redshift, DynamoDB Experience in setting up AWS Glue to prepare data for analysis through automated ETL processes. Familiarity with AWS data migration tools such as AWS DMS, Amazon EMR, and AWS Data Pipeline Hands on experience with AWS CLI, Linux tools and shell scripts Certifications on AWS will be an added plus. BE/BTech/MCA 4+ years of strong experience in 3-4 of the above-mentioned skills. Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their colour, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability, or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavour for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. Show more Show less