Data Engineer
2 weeks ago
About MindcurvWe help our customers rethink their digital business, experiences, and technology to navigate the new digital reality. We do this by designing sustainable and accountable solutions for humans living in a digital world.
Mindcurv holistically covers the market's need to digitalise business processes and customer experiences and take advantage of the cloud following DevOps and agile principles.
We cater to the following six solution lines:
Strategy and AdvisoryCreative Services and Digital ProductsClient Engagement PlatformsDigital Experience and SolutionsData ServicesCloud Platforms and Managed ServicesWe are made up of a team of experts from various domains that define, create, and improve digital experiences.
They engage with people to achieve solutions that enable businesses to grow and scale sustainably.Within our Cloud Platforms Solution Line, we apply an agile approach to provide true on-demand cloud platforms.
We implement and operate secure cloud and hybrid global infrastructures using automation techniques for our clients business critical application landscapelYour role:
The ideal candidate will have a strong background in data architecture, ETL processes, and cloud technologies, with a focus on building scalable data solutions.
You will translate technical and business requirements into automated, operable, scalable and robust solutions.Your responsibilities will include:
Designing, developing, optimizing, and maintaining data pipelines that adhere to ETL principles and business goalsSolving complex data problems to deliver insights that helps our business to achieve their goals.
Creating data products for analytics team members to improve productivityCalling of AI services like vision, translation etc. to generate an outcome that can be used in further steps along the pipeline.
Designing and modeling skills for Data warehouses (cloud data warehouse especially)Fostering a culture of sharing, re-use, design and operational efficiency of data and analytical solutions?Preparing data to create a unified database and build tracking solutions ensuring data qualityCreate Production grade analytical assets deployed using the guiding principles of CI/CD.
Who you areA highly skilled Data Engineer with extensive experience on the Google Cloud Platform (GCP).You have 3-5 years of hands-on experience in GCP based analytics projects as a Team lead (Sr role) or team member.Proficiency in GCP analytics services:
BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Cloud Functions, and Cloud Composer.
You are an expert in Python, Scala, Pyspark, Pytorch, Javascript (any 2 at least) and have extensive experience in data analysis (Apache Spark environments), data libraries (e.g.
Pandas, SciPy, Tensorflow, Keras etc.), and SQL (required).You are comfortable with one of the many BI tools such as Tableau, Power BI, Looker (not mandatory).?You have working knowledge of key concepts in data analytics, such as dimensional modeling, ETL, reporting/dashboarding, data governance, dealing with structured and unstructured data, and corresponding infrastructure needs.
Added bonus for working in cloud Data warehouses like Big query or Snowflake.Certification in any one of the following or equivalentGCP
- Professional Data EngineerSnowflake
- Snowpro core
- Data EngineerYour role:
The ideal candidate will have a strong background in data architecture, ETL processes, and cloud technologies, with a focus on building scalable data solutions.
Your responsibilities will include:
Designing, developing, optimizing, and maintaining data pipelines that adhere to ETL principles and business goalsSolving complex data problems to deliver insights that helps our business to achieve their goals.
Creating data products for analytics team members to improve productivityCalling of AI services like vision, translation etc. to generate an outcome that can be used in further steps along the pipeline.
Designing and modeling skills for Data warehouses (cloud data warehouse especially)Fostering a culture of sharing, re-use, design and operational efficiency of data and analytical solutions?Preparing data to create a unified database and build tracking solutions ensuring data qualityCreate Production grade analytical assets deployed using the guiding principles of CI/CD.
Who you are:
A highly skilled Data Engineer with extensive experience on the Google Cloud Platform (GCP).You have 3-5 years of hands-on experience in GCP based analytics projects as a Team lead (Sr role) or team member.
Proficiency in GCP analytics services:
BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Cloud Functions, and Cloud Composer.
You are an expert in Python, Scala, Pyspark, Pytorch, Javascript (any 2 at least) and have extensive experience in data analysis (Apache Spark environments), data libraries (e.g.
Pandas, SciPy, Tensorflow, Keras etc.), and SQL (required).You are comfortable with one of the many BI tools such as Tableau, Power BI, Looker (not mandatory).?You have working knowledge of key concepts in data analytics, such as dimensional modeling, ETL, reporting/dashboarding, data governance, dealing with structured and unstructured data, and corresponding infrastructure needs.
Added bonus for working in cloud Data warehouses like Big query or Snowflake.Certification in any one of the following or equivalentGCP
- Professional Data EngineerSnowflake
- Snowpro core
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