SENIOR DATA ENGINEER – DATABRICKS & SNOWFLAKE

SENIOR DATA ENGINEER – DATABRICKS & SNOWFLAKE

Experience

7+ Years

Location

Remote

Employment Type

Full-Time

Budget

Up to ₹30 LPA

Time Zone

US Eastern Time (ET)

Shift

US ET Night Shift

Job Description

We are looking for an experienced Senior Data Engineer with strong expertise in Databricks, Snowflake, Apache Spark, and AWS to design, develop, and maintain scalable data engineering solutions.

The candidate will work on integrating data from multiple sources, building modern data pipelines, developing enterprise data models, and preparing data platforms for AI/ML applications.

Experience in healthcare, scientific data, or the histopathology domain will be an added advantage.

Key Responsibilities

Design, build, and maintain scalable data pipelines to acquire, integrate, and manage data from diverse sources such as laboratory systems, MES, clinical supply, quality systems, and external partners.

Develop and optimize data workflows for structured and unstructured data using Python, PySpark, R, SQL, Databricks, and Snowflake.

Design and maintain enterprise-level data models and data repositories.

Perform ETL development, data warehousing, database design, and data integration.

Ensure data quality, versioning, traceability, and consistency to support AI/ML readiness.

Collaborate with stakeholders and technical teams to translate business requirements into technical solutions.

Manage multiple projects while ensuring scalability, performance, and reliability.

Required Skills

7+ years of experience in Data Engineering.

Strong hands-on experience with Databricks and Snowflake.

Excellent knowledge of Apache Spark / PySpark.

Strong experience with AWS cloud services and AWS RDS.

Experience with Oracle and Microsoft SQL Server (MSSQL).

Proficiency in Python, R, and SQL.

Strong understanding of ETL, Data Warehousing (DWH), data modeling, and database design.

Experience with dbt and cloud-based data architectures.

Knowledge of NoSQL and graph databases.

Strong analytical, problem-solving, and stakeholder-management skills.

Good English communication skills (B2 level or above).

Willingness to work in the US Eastern Time (ET) night shift.

Preferred / Good to Have

Experience in histopathology, healthcare, life sciences, or scientific data environments.

Knowledge of CDISC, HL7, FHIR, OMOP, DICOM, or other regulated data standards.

Experience handling high-dimensional data, including imaging and sensor data.

Familiarity with MLOps and machine learning model deployment workflows.

Knowledge of Manufacturing Execution Systems (MES) and Laboratory Information Management Systems (LIMS).

Exposure to knowledge graphs and ontology-driven architectures.

Education

Bachelor's degree in Engineering, Data Science, Life Sciences, Computer Science, or a related field. A master's degree is preferred.

Interested candidates can apply with their updated resumes.