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    Engineer II - Bengaluru, India - Lilly

    Lilly
    Lilly Bengaluru, India

    2 weeks ago

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    Description
    We're looking for people who are determined to make life better for people around the world.

    Eli Lilly Services India Pvt LtdBusiness Insights & Analytics Team:

    Data EngineerThe purpose of the LCCI Business Insights & Analytics team is to partner with US Business Insights & Analytics in providing high quality analytical support to Brand, Market Research and other internal partners through right data, smart analytics and actionable insights.

    Our team will be responsible for setting up the data warehouses necessary to handle large volumes of data, create meaningful analyses, and deliver recommendations to leadership.

    As part of the LCCI team, we are excited to offer the role of Data Engineer who will be an integral part of the Data Governance and analytics team in 2021 and beyond.

    Core ResponsibilitiesCreate and maintain optimal data pipeline architecture ETL/ ELT into Structured dataAssemble large, complex data sets that meet functional / non-functional business requirements and create and maintain Multi-Dimensional modelling like Star Schema and Snowflake Schema, normalization, de-normalization, joining of datasets.

    Expert level experience creating Fact tables, Dimensional tables and ingest datasets into Cloud based tools. Job Scheduling, automation experience is must.

    Identify, design, and implement internal process improvements:
    automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
    Setup and maintain data ingestion, streaming, scheduling and job monitoring automation. Connectivity between Lambda, Glue, S3, Redshift, Power BI needs to be maintained for uninterrupted automation.
    Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and "big data" technologies like AWS and GoogleBuild analytics tools that utilize the data pipeline to provide actionable insight into customer acquisition, operational efficiency and other key business performance metricsWork with stakeholders to assist with data-related technical issues and support their data infrastructure needsCreate data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leaderRequired


    2-5 years of in-depth hands-on experience in data warehousing Redshift or any OLAP to support business/data analytics, business intelligence (BI)Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and Cloud Data warehouse like RedshiftData Model development, additional Dims and Facts creation and creating views and procedures, enable programmability to facilitate AutomationGood to have - Prior Data Modelling, OLAP cube modelling in SQL Server, SSAS and Power BI experienceExperience with Redshift and OLAP systems is must.

    GLUE pipeline skill is mustData compression into PARQUET to improve processing and finetuning SQL programming skills requiredExperience building and optimizing "big data" data pipelines, architectures and data setsExperience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvementStrong analytic skills related to working with structured and unstructured datasetsExperience with manipulating, processing and extracting value from large disconnected unrelated datasetsWorking knowledge of message queuing, stream processing, and highly scalable "big data" storesExperience supporting and working with cross-functional teams and Global ITFamiliarity of working in an agile based working modelsPreferred Qualifications/Expertise


    Experience with relational SQL and NoSQL databases, including AWS Redshift, Postgres and CassandraExperience with AWS cloud services Preferable: S3, EC2, EMR, RDS, Sage MakerExperience with stream-processing systems: Storm, Spark-Streaming, etc.

    Experience with object-oriented/object function scripting languages: Python, Spark, etc.

    Would it be helpful to include certifications as an added bonus here? I've found this is something IT teams invest a lot of their time on to make sure they are up to date and is an indicator that they know the tech well?Education:

    Bachelor's or master's degree on Technology and Computer Science backgroundLilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

    #WeAreLilly
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