As a Data Engineer role, you will be responsible for designing and developing robust data delivery systems within data warehouse infrastructure. This data will be essentially used for generating visual dashboards and reports empowering teams to gain deeper insights into trends and opportunities. A Data Engineer who has experience implementing technical solutions as part of a greater data transformation strategy. This role is responsible for hands on sourcing, manipulation, and delivery of data from enterprise business systems to data lake and data warehouse.

Your Role Responsibilities and Duties :

- Collaborate with business stakeholders and other technical team members to acquire and migrate data sources that are most relevant to business needs and goals.

- Demonstrate technical and domain knowledge of relational and non-relational databases, Data Warehouses, Data lakes among other structured and unstructured storage options.

- Determine solutions that are best suited to develop a pipeline for a particular data source.

- Develop data flow pipelines to extract, transform, and load data from various data sources in various forms, including custom ETL pipelines that enable model and product development.

- Efficient in ELT/ETL development using Azure cloud services and Snowflake, including Testing and operational support (RCA, Monitoring, Maintenance).

- Work with modern data platforms including Snowflake to develop, test, and operationalize data pipelines for scalable analytics deliver.

- Provide clear documentation for delivered solutions and processes, integrating documentation with the appropriate corporate stakeholders.

- Identify and implement internal process improvements for data management (automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability).

- Build cross-platform data strategy to aggregate multiple sources and process development datasets.

Required Skills and Qualifications :

- B.Tech/MTech in Computer Science or Equivalent. An excellent understanding of data warehouses / data-marts and dimensional data models.

- 3+ years of ETL design, development, and performance tuning using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment

- 3+ years of experience with setting up and operating data pipelines using Python or SQL

- 3+ years of advanced SQL Programming: PL/SQL, T-SQL

- 3+ years of experience working with Snowflake, including Snowflake SQL, data modeling, and performance optimization.

- Strong hands-on experience with cloud data platforms such as Azure Synapse and Snowflake for building data pipelines and analytics workloads

- 3+ years of strong and extensive hands-on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, Data Warehouse and Big Data

- 3+ years of experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Databricks/Spark, Azure SQL DW/Synapse, and Azure functions

- 3+ years of experience in defining and enabling data quality standards for auditing, and monitoring

- Strong analytical abilities and a strong intellectual curiosity.

- In-depth knowledge of relational database design, data warehousing and dimensional data modeling concepts

- Understanding of REST and good API design

- Experience working with Apache Iceberg, Delta tables and distributed computing frameworks

- Strong collaboration, teamwork skills, excellent written and verbal communications skills

- Self-starter and motivated with ability to work in a fast-paced development environment

- Agile experience highly desirable

- Proficiency in the development environment, including IDE, database server, GIT, Continuous Integration, unit-testing tool, and defect management tools

Preferred Skills :

- Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)

- Strong working knowledge of Snowflake, including warehouse management, Snowflake SQL, and data sharing techniques

- Experience building pipelines that source from or deliver data into Snowflake in combination with tools like ADF and Databricks

- Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools

- Strong Experience in ETL/ELT development, QA and operation/support process (RCA of production issues, Code/Data Fix Strategy, Monitoring and maintenance)

- Hands on experience in Databases like (Azure SQL DB, MySQL/, Cosmos DB etc.), File system (Blob Storage), Python/Unix shell Scripting

- ADF, Databricks and Azure certification is a plus.

Technologies to be Preferred :

Databricks, Azure SQL DW/Synapse, Azure Tabular, Azure Data Factory, Azure Functions, Azure Containers, Docker, DevOps, Python, PySpark, Scripting (Powershell, Bash), Git, Terraform, Power BI, Snowflake

What we Offer :

- Bootstrapped and financially stable with high pre-money evaluation.

- Above industry renumerations.

- Additional compensation tied to Renewal and Pilot Project Execution.

- Additional lucrative business development compensation.

- Chance to work closely with industry experts driving strategy with data and analytics.

- Firm building opportunities that offer stage for holistic professional development, growth, and branding.

- Empathetic, excellence and result driven organization. Believes in mentoring and growing a team with constant emphasis on learning.