The Role
Maintain and migrate MSSQL data pipelines and schemas to Snowflake and Google Cloud. Develop ETL processes, data models, and scalable solutions for analytics, reporting, and client products. Troubleshoot technical issues, support deployments and business users, participate in design reviews, and uphold development quality standards. Collaborate with data engineering and software teams using relational database, warehousing, and cloud technologies.
Summary Generated by Built In
QualMinds
We at QualMinds design & develop world-class digital products and custom software for Startups, Scale-ups, and enterprises with our world-class engineering team. We assemble a great team of frontend, backend, full-stack, QA automation, UI/UX, DevOps, data science, machine learning, and agile experts to help our clients propel their pursuit of digital excellence. Our engineering community at QualMinds is always passionate about building customer-centric software with the highest quality, performance, security, scalability, and lowest failure rates.
Role: Senior Data Engineer.
Experience: 8 to 12 years
Location: Hyderabad
RESPONSIBILITIES:
- Maintain and support existing MSSQL processes, pipelines, and schemas
- Migrate existing pipelines and processes to cloud (Snowflake, GCP)
- Analyze and organize raw data sets to meet both functional and non-functional requirements
- Develop and test new pipelines and processes, both in MSSQL and cloud environments
- With the data engineering team, design and implement solutions that scale to meet business needs
- Design and implement data models to support analytics and reporting initiatives
- With the software team, develop products that deliver value to our clients
- Participate in peer reviews of solution designs and related artifacts.
- Package and support deployment of releases
- Analyze and resolve technical and application problems
- Adhere to high-quality development principles while delivering solutions on time and on budget
- Provide third-level support to business users
- Participate in business operations as necessary to meet business goals
REQUIREMENTS:
- Bachelor’s Degree in Information Systems, Computer Science, or Information Technology (a 4-year bachelor’s degree is acceptable) - OR - expertise in the above subject matters matched by experience
- 8+ years’ experience in MSSQL data engineering and development required
- Expertise in understanding relational and warehousing database design and querying concepts
- Exposure to agile development methodology
- Strong desire to learn
- Experience with SSIS, data integration and ETL procedures
· Excellent understanding of T-SQL, stored procedures, indexes, stats, functions, and views
· Understanding of version control concepts
· Strong desire to be a world-class data and SQL troubleshooter
BENEFICIAL:
· Experience with Google Cloud Platform technology stack: BigQuery, Data Flow, Data Fusion
· Experience with Snowflake cloud data warehouse
· Experience with Matillion (Snowflake/BigQuery)
· Experience with BI tools like Sigma, Tableau or others
· Experience with NoSQL databases
Skills Required
- Bachelor's degree in Information Systems, Computer Science, or Information Technology, or equivalent subject-matter expertise through experience
- 8 or more years of MSSQL data engineering and development experience
- Understanding of relational and data warehousing database design and querying concepts
- Experience with SSIS, data integration, and ETL procedures
- Excellent understanding of T-SQL, stored procedures, indexes, statistics, functions, and views
- Exposure to agile development methodology
- Understanding of version control concepts
- Experience with Google Cloud Platform technologies including BigQuery, Data Flow, or Data Fusion
- Experience with Snowflake cloud data warehouse
- Experience with Matillion for Snowflake or BigQuery
- Experience with BI tools such as Sigma or Tableau
- Experience with NoSQL databases
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The Company
What We Do
We design & develop world-class digital products and custom software for Startups, Scale-ups & Enterprises with our world-class engineering team. We assemble a great team of frontend, backend, full-stack, QA automation, UI/UX, DevOps, data science, machine learning, and agile experts to help our clients propel their pursuit of digital excellence. Our engineering community at QualMinds is always passionate about building customer-centric software with the highest quality, performance, security, scalability, and lowest failure rates
