Senior Data Engineer

Description :

If you are a smart & passionate team player - then this Senior Data Engineer [Snowflake] opportunity is for you

We at IMRIEL(An Allata Company) are looking for a Senior Data Engineer to implement methods to improve data reliability and quality. You will combine raw information from different sources to create

consistent and machine-readable formats. You will also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. Resourcefulness is a necessary skill in this role. If you truly love gaining new technical knowledge and can add more awesomeness to the team, you are eligible

Experience : 4 to 6 years.

Location : Vadodara & Pune

What you'll be doing :

- Lead the development and implementation of data solutions using the latest tools and technologies, with a focus on Snowflake, SQL, and data modeling.

- Design and develop complex data models, including dimensional modeling, to support reporting and analytics.

- Collaborate closely with Software Developers, Data Engineers, Testers, and other cross-functional teams.

- Diagnose and resolve data-related issues promptly.

- Select and implement the appropriate tools and frameworks for development and deployment.

- Identify and implement improvements in existing data patterns and development methodologies.

- Lead Data Migration & DevOps processes, working closely with Software Developers& Data Engineers.

- Automate data processes to enhance efficiency.

- Ensure high-quality delivery by adhering to best practices in data engineering.

- Stay updated with industry trends and emerging technologies to keep the team ahead of the curve.

What you need :

Basic Skills :

to 6 years of experience in designing and developing data solutions using Snowflake, SQL, and data modeling techniques.

- Expertise in data modeling methods and tools.

- Proficiency in SQL and Python for data extraction, transformation, and loading.

- Hands-on experience with data warehousing, ETL processes, and data governance.

- Experience with relational databases (SQL Server, Oracle, PostgreSQL, MySQL) and unstructured data systems (MongoDB, Cassandra).

- Experience with any of the cloud data platforms such as Azure (Data Factory, Databricks, Synapse, Data Lake) or AWS (Lambda, Glue, Redshift).

- Knowledge of data mining techniques and database management.

- Skilled in optimizing the cost of data services and infrastructure.

- Perform continuous monitoring, automation, and refinement of data engineering solutions.

- Highly collaborative, with the ability to work effectively in team environments involving both technical and business stakeholders.

- Excellent communication, problem-solving, and customer service skills, with the ability to translate technical details into non-technical information.

- Strong analytical skills and meticulous attention to detail.

Responsibilities :

- Design, develop, and maintain scalable data architectures using Snowflake and SQL.

- Lead the development of ETL pipelines and ensure data quality and consistency.

- Optimize data models for performance and scalability.

- Collaborate with project stakeholders to define and implement data architecture requirements.

- Manage the migration of data from legacy systems to modern solutions.

- Implement data quality processes for use with MDM, BI solutions, and data warehouses.

- Develop strategies for data migration, database optimization, and architectural solutions for Analytics and Big Data projects.

- Ensure the performance, security, and accessibility of data systems.

- Troubleshoot and resolve complex technical issues in OLAP/OLTP/DW, Analytics, and Big Data environments.

- Mentor other data engineers and promote a culture of continuous improvement.

- Create and maintain technical documentation, manuals, and IT policies.

Good to know/have :

- Certifications in Snowflake.

- Experience in Data Mesh architectures.

- Cloud certifications (e.g., Azure, AWS, Google Cloud)

- Infrastructure as Code (IaC) methodologies and tools.

Personal Attributes :

- A passion for continuous improvement in both technology and process.

- Strong interpersonal, problem solving, and organizational skills.

- Ability to work independently and manage multiple tasks and projects simultaneously.

- Attention to detail and a commitment to delivering high-quality work.