Looking for a savvy Data Engineer to jointeamof Modeling / Architect experts. The hire willbe responsible forexpanding andoptimizingour data and data pipeline architecture, as well asoptimizingdata flow and collection for cross functional teams.

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoysoptimizingdata systems and building them from the ground up.

The Data Engineer will support our software developers, database architects, dataanalystsand data scientists on data initiatives and will ensureoptimaldata delivery architecture is consistent throughout ongoing projects.

They must be self-directed and comfortable supporting the data needs of multiple teams,systemsand products. The right candidate will be excited by the prospect ofoptimizingor even re-designing our

• Science or Engineering Degree with master’s in computer science (desirable)

• Amaster’sin computer science, Computer, ElectricalEngineeringor a related field.

• Self-reflective, has a hunger to improve, has a keen interestto drivetheir own learning.Appliestheoretical knowledge to practice

• Ability to work with stakeholders including the Executive, Product, Data and Design teams toassistwith data-related technical issues

• Ability to think creatively,planand prioritize work in a fast-paced environment.

• Experience working with Google Cloud Platform (Big Query,GCS,Cloud Function, Composeretc.)orMicrosoftAzure (ADF, Azure DataLakeGen2, Databricks, SQL Serveretc.)

• GCP Professional Data Engineer certification / Azure Data Engineering Certification(desirable)

• Having Experience of business domains like FMCG/ CPG /Retail /Supply Chain will beadded advantage

​​Must have​

• DataengineeringConceptsExperience in working with data lake, data warehouse, datamartand Implemented ETL/ELT and SCD concepts.

• Analytics:Fluent with SQL, PL/SQL and have used any of theanalytics tools like Big Query,DataBricksetc. for data analytics

• Data sourcesExperience ofworking with structure data sources like SAP, BW, Flat Files,RDBMSetc.andsemi structured data sources like PDF, JSON,XMLetc.

• Programming:Understanding ofOOPs concepts andstronghands-onexperience withPython for programming and scripting.

• Cloud Platform:GCP , GKE, Composer-3 (Managed Airflow)

• Orchestration:Experience in orchestratingschedulingdata pipelines using any of thetools like Airflow, Alteryx, Azure Data Factory

​​Nice to have​

• Visualization Exposure of reporting tools like Tableau,LookerandPowerBI

• API Experience in implementing solutions involving REST APIs, GraphQLetc.

• DevOps:Worked with framework involving CI-CD pipelines, like Jenkins and Git setup. Should have understandingaboutIdentity and Access Management (IAM) fromcloudstandpoint.

• Data Quality:Exposure of all thephases of testing, datavalidationand data reconciliation.

• Have Built analytics tools thatutilizethe data pipeline toprovideactionable insights into customer acquisition, operationalefficiencyand other key business performance metrics.