Senior BI Engineer/Analyst

Intapp Palo Alto , CA 94306

Posted 2 months ago

Position: Sr. Data Engineer/Analyst

Location; Palo Alto, CA

The Role:

We're hiring a hands-on Senior Data Engineer/Analyst to be part of Data Solutions organization. The data solutions team builds out tools and infrastructure needed to source, validate, clean and process the data and build compelling reports for leaders. Our team is looking for a Senior Data Architect to help scale our data efforts. If you have passion for data and want to help build Intapp's next gen data platform that provide actionable insights to drive customer and business outcomes, we'd love to hear from you.

You will contribute to the full software development life cycle, including design, modeling, data migrations, unit testing, performance tuning, deployment activities.

What you'll do:

  • Understand complex business requirements and translates into technical specifications

  • You can single-handedly build highly scalable end-to-end data ingestion pipelines using different open source tools and operationalizing them.

  • Build infrastructure for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, cloud based relational or non-relational databases employing ETL tools and/or scripting languages like Perl/Python and streaming technologies like Kafka, Kinesis.

  • Apply technologies to solve complex data problems with expert knowledge in programming languages like SQL, Python, Linux, SQL, Hive, Spark.

  • Build and deploy dashboards using one or more visualization tools such as tableau, Power BI

  • Define optimized DB schemas that power the compelling story-telling dashboards.

  • Work with stakeholders including Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs

  • Uses highest level of subject matter expertise to decide on data modeling, data sourcing, data quality, and BI delivery solutions

  • Define SLA and acceptable time lags by data source, define QA process, and socialize resolution process to ensure data accuracy and consistency.

Ideal Candidate Must-Haves

BA/BS Degree in Computer Science, any Engineering discipline, and 3+ years of experience in relevant Data engineering and Business Intelligence platforms or Master's degree in Computer

Science, any Engineering discipline / information technology and 3+ years in relevant Data

engineering and Business Intelligence platforms experience

  • Relational SQL and NoSQL databases

  • Tableau, Domo or other reporting tools

  • Advanced SQL; experience with working on large multidimensional data sets, unstructured data.

  • Data Pipelines such has Kafka, Kinesis, Pyspark

  • ETL Tools such as Informatica, Talend, Dell Boomi

  • Experience working with AWS components [EC2, S3, DynamoDB]

Preferred Qualifications:

  • Big data tools Hadoop, Hive, HDFS, Spark etc.

  • Experience in CI/CD pipelines

  • Demonstrated proficiency implementing self-service solutions to empower an organization to generate valuable actionable insights

  • Setup, maintain, and implement Kafka topics and processes

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Senior BI Engineer/Analyst