Anveta, Inc

Clinical Data Lake Databricks Technical Lead/Solution Architect

Anveta, Inc United States

Project Duration -6+ Months

Location- - Remote

Day To Day Responsibilities

  • Experience in implementation of AWS Data Lake and Data Publication using Databricks, Airflow and AWS S3
  • 8+ Years of experience in Databricks Data Engineering to create Data Lake solutions using AWS services.
  • Knowledge of Databricks cluster and SQL warehouse, Experience in Delta and Parquet file handling
  • Experience in Data Engineering and Data Pipeline creation on Databricks
  • Experience in Data Build Tool (DBT) using Python and SQL
  • Extensive Experience in SQL, PL/SQL, complex Join, Aggregation function and DBT, Python, Data frames and Spark
  • Experience in Airflow for Job Orchestration, dependency Setup and Job scheduling
  • Knowledge of Databricks Unity Catalog and Consumption patterns
  • Knowledge of GitHub and CI/CD Pipelines, AWS Infra like IAM Role, Secrets and S3 buckets
  • Experience with life sciences is a must.

Must Haves

  • Responsible for defining technical architecture and application landscape.
  • Responsible for authoring SQL and Python scripts on Databricks and DBT (Data Build tool) to create data pipelines to create Operational Data Mart.
  • Responsible for creation of Data Pipelines for Data processing of Delta files into ODM format for downstream data consumption
  • Responsible for identifying data set relationship, join criteria and implement it in code for ODM model development.
  • Responsible for creation of Delta Lake for ODM model and setup of consumption pattern using Databricks Unity catalog
  • Responsible for creation of Airflow DAGs for job orchestration and scheduling of data pipeline jobs

Thanks & Regards

Amit Sinha

Recruitment Lead

Email: amit.sinha@anveta.com |
  • Seniority level

    Mid-Senior level
  • Employment type

    Contract
  • Job function

    Research, Analyst, and Information Technology
  • Industries

    IT Services and IT Consulting

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