Sr. Data Engineer

1 week ago

Indianapolis, United States Sondhi Solutions Full time

Sondhi Solutions is partnered with a major health network in need of a remote Sr. Data Engineer for a 12 month contract with possible extension.


The Senior Data Engineer will be part of the team to review, analyze, modify, and create ETLs, testing, debugging, integration and implementation processes. Tasks will also include documenting technical needs for ETL processes and databases, and ensuring optimal technical infrastructure is utilized. This position involves the delivery of big data integration projects and requires leveraging best practices expertise and experience at implementation; as well as effective technology know-how to support the ongoing activity of those working within business intelligence and analytics teams.


• Design, construct, install, test and maintain highly scalable data management systems

• Develop and maintain logical & physical data model designs, data management standards and conventions, data naming standards and metadata (normalized, de-normalized and STAR-based structures)

• Perform reverse engineering of physical data models from databases and SQL scripts

• Evaluate data models and physical databases for variances and discrepancies

• Validate business data objects for accuracy and completeness

• Participate in higher level planning efforts. Play a role in definition of process/guidelines/standards

• Direct support of business intelligence and analytics teams


TECHNOLOGY & CAPABILITIES USED

• SQL: wide variety of development from simple ad hoc queries to complex stored procedures and multidimensional analysis

• Data integration: ETL and ELT development paradigms and platforms – Airflow, Azure Data Factory, Apache Spark, Databricks

• Software development methodologies/concepts: SDLC, Agile, Scrum, Git, Continuous Integration

• MPP Data Warehouse Platforms: Azure Synapse (SQL DW), Amazon Redshift, Snowflake, Teradata, Azure Data Lake

• Programming/scripting languages: Scala, Python, and PowerShell

• Cloud Platforms: Azure Data Lake, Azure SQL DW, Azure Databricks, Apache Spark, AWS (Redshift)

• Data profiling/quality: Informatica, Microsoft

• Performance Tuning: Expert in performance tuning of ETL/SQL code



Requirements:

Bachelor's degree preferred or equivalent experience

5-7+ years of experience as a Data Engineer, preferably at the enterprise level

Candidates with healthcare industry experience will be considered first

Requires database experience such as but not limited to Oracle, SQL Server, etc

Hands-on experience with modern enterprise data architectures and data toolsets (ex: data warehouse, data marts, data lake, 3NF and dimensional models, modeling tools, profiling tools)

Comfortable with ambiguity; comfortable iterating toward a destination rather than knowing it ahead of time

Self-starter; takes advantages of all possible venues for continuous learning

Enjoys working with teams, both inside and outside of his/her immediate area

Hungry to learn/master new approaches to information management and delivery

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