Amazatic is a digital transformation services provider working with global brands aiding on their journey to digital transformation. Amazatic offers a suite of services around user experience, automation, analytics, and mobility that in turn helps businesses become more efficient and improves profitability.

5+ years of experience as a Data Engineer on the AWS Stack

AWS Solutions Architect or AWS Developer Certification required

Solid experience with AWS services such as Cloud Formation, S3,
Athena, Glue, Glue Data Brew, EMR/Spark, RDS, Redshift, Data Sync, DMS,
DynamoDB, Lambda, Step Functions, IAM, KMS, SM, Event Bridge, EC2, SQS, SNS,
Lake Formation, Cloud Watch, Cloud Trail

Programming experience with Python, Shell scripting, and SQL

Responsible for building, test, QA & UAT environments using Cloud
Formation.

Build & implement CI/CD pipelines for the EDP Platform using Cloud
Formation and Jenkins
 

Skills required:
Project Management, Shell Scripting, Agile, stored procedure, Test cases, Unit testing, Information Technology, Analytics, SQL, Python

Good to Have:

Implement high-velocity streaming solutions and orchestration using
Amazon Kinesis, AWS Managed Airflow, and AWS Managed Kafka (preferred)

Solid experience building solutions on AWS data lake/data warehouse

Analyze, design, Development , and implement data ingestion
pipeline in AWS

Knowledge of implementing ETL/ELT for data solutions end to end

ingest data from Rest APIs to AWS data lake (S3) and relational
databases such as Amazon RDS, Aurora, and Redshift.

Perform the Peer Code Review and, perform code quality analysis,
and associated tools end-to-end for Prudentials platforms

Create detailed, comprehensive, and well-structured test cases that
follow best practices and techniques

Estimate, prioritize, plan & coordinate quality testing activities

Understanding requirements, and data solutions (ingest, storage,
integration, processing, access) on AWS

Knowledge of implementing RBAC strategy/solutions using AWS IAM and
Redshift RBAC model

Knowledge of analyzing data using SQL Stored procedures

Build automated data pipelines to ingest data from relational
database systems, file system , and NAS shares to AWS relational databases such
as Amazon RDS, Aurora, and Redshift

Build Automated data pipelines to develop test plans, execute
manual and automated test cases, help to identify the root causes, and
articulate defects clearly

Recreate production issues to help determine the issue and verify
any fixes

Conducting End to End verification and validation for the entire
application

Creating Jenkins CI pipelines to integrate Sonar/Security scans and
test automation scripts

Using Git/bitbucket for efficient remote team working, storing
framework, and developing test scripts

Part of DevOps QA and AWS team focusing on building CI/CD pipeline

Part of the release/build team and mainly worked on release
management, CI/CD pipeline

Deploy multiple instances by using cloud formation templates

Responsibilities:

Designing, building, and maintaining efficient, reusable, and
reliable code

Ensure the best possible performance and quality of high-scale data
applications and services

Participate in system design discussions

Independently perform hands-on Development and unit testing of the
applications

Collaborate with the development team and build individual
components into the enterprise data platform

Work in a team environment with the product, QE/QA, and
cross-functional teams to deliver a project throughout the whole software
development cycle.

Responsible to identify and resolve any performance issues

Keep up to date with new technology development and implementation

Participate in code review to make sure standards and best
practices are met

Project management: Agile developers take responsibility for
estimating, planning, and managing all tasks and report on progress

Software quality: The Agile developer is also responsible for the
quality of the software he/she produces. The team takes responsibility for the
quality of the work they produce instead of turning over some code to a
separate and independent group for testing

Teamwork: This includes collaboration with all other team members
with the aim to take shared responsibility for the overall efforts

Understanding user needs: This is about interacting with users as
necessary to clarify requirements

Education -

BE/BTech or Graduate / Postgraduate in Computer Science / Information Technology