AWS Data Engineer

About Us We are a decision science organization assisting clients to leverage their under-utilized data in making complex business decisions successfully. We comprise of Data Enthusiasts (engineers, scientists visualizers), Business Consultants, and Sales Managers with a core focus to address your business growth via data. The most unique aspect of Data would be containing unique problems/opportunities even for organizations in the same sector. Since Marktine’s inception, we have worked with several sectors across Industries. We are still growing and consistently striving to improve to deliver world-class Data Assessment & Management Services. We do not follow a complex process rather strive to make complex data terminologies as simple as possible for our clients. From the team’s perspective, we adhere to complete industry standards following proper work-life balance among employees and provide the knowledge space for improvement. We encourage team building and follow a culture of innovation, transparency, and integrity. We are always open for the right enthusiasts to join our team. Job Description This is a remote position. Responsibilities: • Partner with our users and other data product teams to understand business needs to build impactful data/analytics solutions • Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources using AWS ‘big data’ technologies • Uses standardized processes for requirements definition, analysis, design, construct, and test activities • Automate repeatable tasks to create efficiencies in our workflows and enable freedom for innovation • Modifies existing systems or integrates packaged systems with existing infrastructure to meet business requirements • Development and support of multiple AWS solutions to support critical business applications Requirements Essential Requirements: Experience with Data Warehousing, Data Lake, Analytic processes, and methodologies. Proficient in writing and optimizing SQL queries and other procedures/scripts Strong data model design and implementation experience Strong experience with AWS data technologies (such as Aurora Postgres, S3, Lambda, Redshift & other AWS Data Services) covering security, policies, access management Experience with AWS ETL/File Movement tools such as GLUE, Athena and other AWS integration products. Experience with Agile Development, Jira, CI/CD and GitHub Programming experience with SQL and Python