Offshore SrData Engineer - Data Engineering

Who We Are

For 20 years we have been working with organizations large and small to help solve business challenges through technology. We bring a unique combination of engineering and strategy to Make Data Work for organizations. Our clients range from the travel and leisure industry to publishing retail and banking. The common thread between our clients is their commitment to making data work as seen through their investment in those efforts.

In our quest to solve data challenges for our clients we work with large enterprise cloudbased and marketing technology suites. We have a deep understanding of these solutions so we can help our clients make the most of their investment efficiently. To have a datadriven business.

Why Work at Softcrylic

Softcrylic provides an engaging teamfocused and rewarding work environment where people are excited about the work they do and passionate about delivering creative solutions to our clients.

Work Timing: 12:30 PM to 9:30 PM (Flexible in work timings)

Work Location: Chennai (Hybrid)

Responsibilities:

• BI: Develop modern data architectural approaches for business intelligence reporting and analytics including that for machine learning models and data science ensuring effectiveness scalability and reliability.
  
• ETL: Develop modern data architectural approaches for ETL processes.
  
• Gather and build canned and ad hoc reports and dashboards using reporting and visualization tools. Provide support and education to the business units on published data models.
  
• Collaborate with other data engineers data scientists and product managers to implement a shared technical vision
  
• Technical Writing including documentation of analyses justification of insights PowerPoint presentations of conclusions technical proposals etc.
  

Skills Required:

• 5 years of software development and architecture knowledge
  
• 2 years working with Python or other highlevel development language.
  
• 5 years working in production software development environments.
  
• 3 years of development and knowledge of Data Warehousing principles ELT / ETL processes and dimensional modeling concepts.
  
• Experience with Cloudbased data management services.
  
• Experience with Data wrangling transformations filtering etc.
  
• Strong SQL skills.
  
• Advanced data aggregation and modeling skills using the latest techniques and best practices for query tuning (i.e. partitioning clustering nesting optimizing join patterns and analyticswindow functions).
  
• Strong Expertise in Cloudbased Services GCP and or AWS for data management GCS Big Query and or RedShift S3) and workflow orchestration processing. ex: Airflow Dataflow GCP Composer AWS Glue etc.
  
• Handson experience with building reports and dashboards
  
• Experience with CI/CD pipeline integrations and documentation.
  
• Highly analytical datadriven thinker.
  
• Selfstarter able to work autonomously with little oversight/guidance.