AWS Data Engineer

3 weeks ago


Bengaluru, Karnataka, India Sampoorna Consultants Private Limited Full time
Job Description

Our Client in India is one of the leading providers of risk, financial services and business advisory, internal audit, corporate governance, and tax and regulatory services.

Our Client was established in India in September 1993, and has rapidly built a significant competitive presence in the country. The firm operates from its offices in Mumbai, Pune, Delhi, Kolkata, Chennai, Bangalore, Hyderabad , Kochi, Chandigarh and Ahmedabad, and offers its clients a full range of services, including financial and business advisory, tax and regulatory.

Our client has their client base of over 2700 companies. Their global approach to service delivery helps provide value-added services to clients. The firm serves leading information technology companies and has a strong presence in the financial services sector in India while serving a number of market leaders in other industry segments.

Job Requirements
Mandatory Skills
Bachelor s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline
7+ years of relevant experience in data engineering roles
Detailed knowledge of data warehouse technical architectures, data modelling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding
Proficient in at least one or more programming languages: Java, Python, Ruby, Scala
Experienced with AWS services such as Redshift, S3, EC2, Lambda, Athena, EMR, AWS Glue, Datapipeline.
Exposure to data visualization and reporting with tools such as Amazon QuickSight, Metabase, Tableau, or similar software
Experience building metrics deck and dashboards for KPIs including the underlying data models.
Understand how to design, implement, and maintain a platform providing secured access to large datasets

Primary Roles and Responsibilities

An AWS Data Engineer is responsible for designing, building, and maintaining the data infrastructure for an organization using AWS cloud services. This includes creating data pipelines, integrating data from various sources, and implementing data security and privacy measures. The AWS Data Engineer will also be responsible for monitoring and troubleshooting data flows and optimizing data storage and processing for performance and cost efficiency.

Preferred Skills
Master s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline
7+ years of work experience with ETL, Data Modelling, and Data Architecture.
Experience or familiarity with newer analytics tools such as AWS Lake Formation, Sagemaker, DynamoDB, Lambda, ElasticSearch.
Experience with Data streaming service e.g Kinesis Kafka
Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
Proven track record partnering with business owners to understand requirements and developing analysis to solve their business problems
Proven analytical and quantitative ability and a passion for enabling customers to use data and metrics to back up assumptions, develop business cases, and complete root cause analysis
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