Sr./Data Engineer

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: 5 to 8 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:

• 5 to 8 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.