ProtoGene Consulting Private Limited
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Data Engineer + Integration engineer + Support specialistExp – 5-8 years
Necessary Skills:· SQL & Python / PySpark
· AWS Services: Glue, Appflow, Redshift
· Data warehousing
· Data modelling
Job Description:· Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform. Design/ implement, and maintain the data architecture for all AWS data services
· A strong understanding of data modelling, data structures, databases (Redshift), and ETL processes
· Work with stakeholders to identify business needs and requirements for data-related projects
Strong SQL and/or Python or PySpark knowledge
· Creating data models that can be used to extract information from various sources & store it in a usable format
· Optimize data models for performance and efficiency
· Write SQL queries to support data analysis and reporting
· Monitor and troubleshoot data pipelines
· Collaborate with software engineers to design and implement data-driven features
· Perform root cause analysis on data issues
· Maintain documentation of the data architecture and ETL processes
· Identifying opportunities to improve performance by improving database structure or indexing methods
· Maintaining existing applications by updating existing code or adding new features to meet new requirements
· Designing and implementing security measures to protect data from unauthorized access or misuse
· Recommending infrastructure changes to improve capacity or performance
Experience in Process industry
Data Engineer + Integration engineer + Support specialistExp – 3-5 years
Necessary Skills:· SQL & Python / PySpark
· AWS Services: Glue, Appflow, Redshift
· Data warehousing basics
· Data modelling basics
Job Description:· Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform.
· A strong understanding of data modelling, data structures, databases (Redshift)
Strong SQL and/or Python or PySpark knowledge
· Design and implement ETL processes to load data into the data warehouse
· Creating data models that can be used to extract information from various sources & store it in a usable format
· Optimize data models for performance and efficiency
· Write SQL queries to support data analysis and reporting
· Collaborate with team to design and implement data-driven features
· Monitor and troubleshoot data pipelines
· Perform root cause analysis on data issues
· Maintain documentation of the data architecture and ETL processes
· Maintaining existing applications by updating existing code or adding new features to meet new requirements
· Designing and implementing security measures to protect data from unauthorized access or misuse
· Identifying opportunities to improve performance by improving database structure or indexing methods
· Designing and implementing security measures to protect data from unauthorized access or misuse
· Recommending infrastructure changes to improve capacity or performance
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Skills / Tools
- SQL & Python / PySpark
- AWS Services: Glue, Appflow, Redshift - Mandatory
- Data warehousing basics
- Data modelling basics
Job Description
- Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform. Design/ implement, and maintain the data architecture for all AWS data services
- A strong understanding of data modelling, data structures, databases (Redshift), and ETL processes
- Work with stakeholders to identify business needs and requirements for data-related project
- Strong SQL and/or Python or PySpark knowledge
- Creating data models that can be used to extract information from various sources & store it in a usable format
- Optimize data models for performance and efficiency
- Write SQL queries to support data analysis and reporting
- Monitor and troubleshoot data pipelines
- Collaborate with software engineers to design and implement data-driven features
- Perform root cause analysis on data issues
- Maintain documentation of the data architecture and ETL processes
- Identifying opportunities to improve performance by improving database structure or indexing methods
- Maintaining existing applications by updating existing code or adding new features to meet new requirements
- Designing and implementing security measures to protect data from unauthorized access or misuse
- Recommending infrastructure changes to improve capacity or performance
- Experience in Process industry
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What is ‘searce’
Searce means ‘a fine sieve’ & indicates ‘to refine, to analyze, to improve’. It signifies our way of working: To improve to the finest degree of excellence, ‘solving for better’ every time. Searcians are passionate improvers & solvers who love to question the status quo.
The primary purpose of all of us, at Searce, is driving intelligent, impactful & futuristic business outcomes using new-age technology. This purpose is driven passionately by HAPPIER people who aim to become better, everyday.
What we do
Searce is a modern tech consulting firm that empowers clients to futurify their businesses, leveraging Cloud, AI & Analytics.
- We are a category defining niche’ cloud-native technology consulting company, specializing in modernizing (improve, automate & transform) the full-scope of infra, app, process & work
- We partner with clients in their ‘beyond x’ journey to drive intelligent, impactful & futuristic business outcomes
- We are the most preferred tech partner of choice when it comes to ‘solving for better’ for the new-age tech startups & digital enterprises, leading disruption in their industries
- Our Service Offerings: We offer Advanced Cloud, Data & App Modernization, Cloud Consulting, Management & Improvement (DevOps, SysOps & Cloud Managed Services), Applied AI & Analytics services
- As one of the top 5 niche’ full scope global partners for Google Cloud & a preferred partner for AWS, we are the most preferred ‘engineering-led’ tech company of choice when it comes to solving complex business problems.
Who we are
We are passionate improvers, solvers & futurists. Driven by our engineering excellence mindset, we care most about delivering intelligent, impactful & futuristic business outcomes. Searcians are motivated by continuous improvement & solving for better in everything we do.
At the core, a Searcian is self-driven to become better, everyday. In passionate pursuit of the finest degree of excellence we drive exceptional outcomes in everything we do.
We believe that trust is the most important value. We also believe that we need to ‘earn the trust’, everytime one engages with us. And earning trust for us is far more important than anything else. We aim to be the *most trusted* tech consulting partner for our clients.
We are HAPPIER at heart. Humble, Adaptable, Positive, Passionate, Innovative, Excellence focused, & Responsible. We live the HAPPIER Culture Code.
Being HAPPIER.
How we work
- Customers. Partners. Our aim is to build relationships with customers for life. And meaningfully improve the life of every customer.
- We do what we say. We say what we do. We are uncomfortably honest and transparent. Being genuine wins trust & makes people happier.
- Mistakes are encouraged. We make mistakes. Tons of those. Everyday. And we don’t mind apologizing to our juniors, peers or superiors. We are no ego-doers.
- Underpromise. Overdeliver. We work with a deep desire to go above and beyond in everything we do. Everytime.
So, If you are passionate about tech, future & what you read above (we really are!), apply here to experience the ‘Art of Possible’
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