Logo for Marktine Technology Solutions Pvt Ltd

AWS Data Engineer

Marktine Technology Solutions Pvt Ltd

Role overview

Qualifications

  • 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 and other AWS Data Services)

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

About the company

Marktine Technology Solutions Pvt Ltd logo

Marktine Technology Solutions Pvt Ltd

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.

Company details

Company size201 - 500

Links

Website LinkedIn See all jobs

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

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

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Data Engineer Related jobs

WorldwideData Engineer

Other jobs at Marktine Technology Solutions Pvt Ltd

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.