Senior Snowflake Data Engineer

We are seeking a skilled
Data Engineer
with expertise in Snowflake and Apache Kafka and to guide and drive the evolution of our client's data ecosystem.

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:

• 4 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 Have:

• Experience in Data Mesh architectures.

• Infrastructure as Code (IaC) methodologies and tools.

• Certifications in Snowflake, Visualization or cloud data engineering technologies are a plus.

Personal Attributes:

• Ability to identify, troubleshoot, and resolve complex data issues effectively.
• Strong teamwork, communication skills and intellectual curiosity to work collaboratively and effectively with cross-functional teams.
• Commitment to delivering high-quality, accurate, and reliable data products solutions.
• Willingness to embrace new tools, technologies, and methodologies.
• Innovative thinker with a proactive approach to overcoming challenges.