BENGALURU · FULLTIME
Data Engineer (Databricks & Snowflake)
Consign Space Solutions
Bengaluru · onsite · Posted 10d ago
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Section · 01
About this role
We are looking for a Senior Data Engineer to design, build, and optimize scalable data platforms and pipelines. You will work closely with analytics, data science, and business teams to deliver reliable, high-quality data using modern cloud technologies. Hands-on expertise in Databricks and Snowflake is essential.
Key Responsibilities
- Design, develop, and maintain scalable batch and real-time data pipelines using Databricks (PySpark/Spark SQL) and Snowflake.
- Build and optimize ELT/ETL workflows to ingest data from diverse sources (databases, APIs, files, streaming platforms).
- Implement data lakehouse and data warehouse solutions following medallion architecture (Bronze/Silver/Gold).
- Optimize performance and cost across Databricks clusters and Snowflake warehouses.
- Develop and manage data models (dimensional, star/snowflake schemas) to support analytics and reporting.
- Implement data quality, validation, lineage, and governance frameworks.
- Set up CI/CD pipelines and infrastructure-as-code for data workflows.
- Orchestrate pipelines using tools such as Airflow, Azure Data Factory, or Databricks Workflows.
- Ensure data security, access controls, and compliance with organizational standards.
- Collaborate with data scientists, analysts, and product teams to translate requirements into technical solutions.
- Troubleshoot production issues and ensure pipeline reliability and SLA adherence.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 7+ years of experience in data engineering or related roles.
- Strong hands-on experience with Databricks (Spark, Delta Lake, Unity Catalog, Workflows, notebooks).
- Strong hands-on experience with Snowflake (Snowpipe, Streams & Tasks, Time Travel, virtual warehouses, RBAC, performance tuning).
- Advanced proficiency in SQL and Python (PySpark).
- Solid understanding of data warehousing, data modeling, and ETL/ELT concepts.
- Experience with at least one major cloud platform (AWS, Azure, or GCP).
- Experience with version control (Git) and CI/CD practices.
- Strong problem-solving, communication, and stakeholder management skills.
Preferred Qualifications
- Databricks or Snowflake certifications (e.g., Databricks Certified Data Engineer, SnowPro Core/Advanced).
- Experience with streaming technologies (Kafka, Event Hubs, Kinesis, Structured Streaming).
- Familiarity with Airflow, or similar transformation/orchestration tools.
- Exposure to ML/MLOps pipelines and feature engineering.
- Experience working in Agile/Scrum environments.
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Section · 02
Skills
Section · Company
About Consign Space Solutions
Consign Space Solutions
51-200
employees
2020
6 years old
Ontario, California
United States
₹14.9L PA avg
Avg at Consign Space Solutions
About
We are a globally trusted workforce solution provider known for our expertise in SAP, ORACLE & IT recruitments. Since Inception, we make sure to deliver authentic and verified resources to our clients fulfilling their recruitment needs and maximizing performance. Our consulting prowess is to efficiently bridge the gap between organizations and resources.
The company laid its roots from the basics of HR Management, thereby bringing a unique approach to cater to the requirements of our clients. We recruit across various verticals for multinational corporations as well as leading business houses. Over the past years, we have been able to shape the careers of numerous professionals. Our strong beliefs and values define what we stand for and determine how we work.
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Culture
3.8
Career growth
3.6
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