Cloud Data EngineerLocation: Mexico (Mexico City Guadalajara Monterrey) Hybrid as per Infosys Mexico policy
Time Zone: CST/EST
Role OverviewAs a Cloud Engineer you will work directly with clients to build and support data engineering solutions. Your work will include creating data pipelines supporting data lake projects building dashboards for reporting and defining and implementing scalable workflows. This role requires strong handson skills in Python and SQL and prior working experience with a Cloud Platform (AWS Preferred) with a focus on delivering reliable scalable cloud-based data systems. You will collaborate with multiple teams and help ensure that data processes run smoothly and efficiently.
Key Responsibilities- Build and maintain Data Pipelines for Clients Data Engineering / Science needs.
- Work on Data Lake development and related Cloud initiatives.
- Create Dashboards and Support Executive Reporting Requirements.
- Define and implement Workflow and Process designs.
- Work closely with clients to understand Requirements and Deliver Solutions.
- Collaborate with crossfunctional teams in a fastmoving environment.
- Troubleshoot issues and help improve Data Quality and System Performance.
Basic Qualifications- Bachelors degree or foreign equivalent in Statistics Computer Science Mathematics or related field.
- At least 7 years of experience in Information Technology working on building Data Pipelines.
- Bilingual (Spanish & English) strong verbal and written communication.
Mandatory Skills- Minimum 5 years of handson experience working with Python and SQL and PL/SQL.
- Minimum 3 years working experience with a Cloud Platform (AWS Preferred)
- Strong understanding of ETL concepts and Data Processing.
- Experience working in Fast Paced Environment with Agile Scrum using JIRA
Preferred Skills- Exposure to Big Data technologies (Hadoop Python/Scala/Spark/PySpark).
- Experience working with Scheduling Tool like Airflow (MWAA) Control-M Tidal
- Experience with AWS Redshift or Snowflake or Azure Synapse.
- Experience with Large Scale Data Warehouse Implementation and use of ETL Techniques.
- Experience working with CI/CD Platforms like Gitlab Bitbucket and Deployment Pipelines
- Knowledge of Unix shell scripting.
Other Requirements- Ability to work under tight timelines and manage complex requirements.
- Flexible to work during CST/EST time zones and meet for hand-over activities to India team if needed.
- Self-motivated proactive and a strong team player.
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills expertise and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy childbirth or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
Required Experience:
IC
Cloud Data EngineerLocation: Mexico (Mexico City Guadalajara Monterrey) Hybrid as per Infosys Mexico policyTime Zone: CST/ESTRole OverviewAs a Cloud Engineer you will work directly with clients to build and support data engineering solutions. Your work will include creating data pipelines supportin...
Cloud Data EngineerLocation: Mexico (Mexico City Guadalajara Monterrey) Hybrid as per Infosys Mexico policy
Time Zone: CST/EST
Role OverviewAs a Cloud Engineer you will work directly with clients to build and support data engineering solutions. Your work will include creating data pipelines supporting data lake projects building dashboards for reporting and defining and implementing scalable workflows. This role requires strong handson skills in Python and SQL and prior working experience with a Cloud Platform (AWS Preferred) with a focus on delivering reliable scalable cloud-based data systems. You will collaborate with multiple teams and help ensure that data processes run smoothly and efficiently.
Key Responsibilities- Build and maintain Data Pipelines for Clients Data Engineering / Science needs.
- Work on Data Lake development and related Cloud initiatives.
- Create Dashboards and Support Executive Reporting Requirements.
- Define and implement Workflow and Process designs.
- Work closely with clients to understand Requirements and Deliver Solutions.
- Collaborate with crossfunctional teams in a fastmoving environment.
- Troubleshoot issues and help improve Data Quality and System Performance.
Basic Qualifications- Bachelors degree or foreign equivalent in Statistics Computer Science Mathematics or related field.
- At least 7 years of experience in Information Technology working on building Data Pipelines.
- Bilingual (Spanish & English) strong verbal and written communication.
Mandatory Skills- Minimum 5 years of handson experience working with Python and SQL and PL/SQL.
- Minimum 3 years working experience with a Cloud Platform (AWS Preferred)
- Strong understanding of ETL concepts and Data Processing.
- Experience working in Fast Paced Environment with Agile Scrum using JIRA
Preferred Skills- Exposure to Big Data technologies (Hadoop Python/Scala/Spark/PySpark).
- Experience working with Scheduling Tool like Airflow (MWAA) Control-M Tidal
- Experience with AWS Redshift or Snowflake or Azure Synapse.
- Experience with Large Scale Data Warehouse Implementation and use of ETL Techniques.
- Experience working with CI/CD Platforms like Gitlab Bitbucket and Deployment Pipelines
- Knowledge of Unix shell scripting.
Other Requirements- Ability to work under tight timelines and manage complex requirements.
- Flexible to work during CST/EST time zones and meet for hand-over activities to India team if needed.
- Self-motivated proactive and a strong team player.
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills expertise and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy childbirth or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
Required Experience:
IC
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