AWS-Data Engineering & Business Intelligence

Department - IT

Designation - Data Engineering & Business Intelligence Experience

2-4 years work experience in Data Engineering & Analytics. Product & data analyst at

core who loves to solve business problems using data. Lead teams of varying sizes (5-10) for

building robust & scalable data warehouse. Worked on low code, no code &/or server less

ETL/ ELT techniques

Instrumental in Project Planning & Execution / global stakeholder Management and global

deliveries.

Experience in architecting/creating Enterprise Data Lake by migrating data from multiple on

Premises server to AWS cloud platform by building complex ETL pipelines. Adopted Agile

and DevOps practices following continuous integration, delivery and deployment principals.

Successful background of working with stakeholders to develop architecture framework that

aligns strategy, processes, and IT assets with business goals.

AI/ML enthusiast whos well versed in the big data ecosystem. Extensive knowledge as a

systems architect and software developer in analysis, design, architecture, development and

integration of complex software solutions. Extensively worked on CI/CD pipeline for code

deployment by different tools (git, Jenkins, Docker, Code Pipeline,) in process right from

developer code check-in to production deployment. Hands-on experience with EC2, ECS,

ELB, EBS, S3, VPC, IAM, SQS, SES, SNS, RDS, Lambda, Event Bridge, Step Functions, App

Stream, Cloud Watch, DMS, Storage Gateway, AWS X-Ray, AWS CLI, AWS SDK, AWS

Monitoring and Auto scaling.

TECHNICAL SKILLS - (BI / ETL):

• Data Lake / DWH Snowflake, Redshift, SQL Server , S3
• Dimension Modelling - Star & Snowflake
• ETL- AWS Glue ,DMS, Kafka, Databricks
• Databases: SQL (Postgres, MySQL, Oracle, Hive), Postgres, Sqoop
• Programming Languages: Python, Scala
• Platforms: Linux, AWS, GCP, Digitalocean, Cloudera Manager
• Big Data Ecosystems: Hadoop, Spark, Kafka, Spark streaming, HDFS, Hive, Hbase
• Big Data Tools: Git, Apache Spark, Apache Nifi, Apache Airflow, Elastic Search, DBT
• Visualization -Power BI, Tableau, Qliksenese.

If interested, please share your resumes at sharma.shalini@careinsurance.com

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