Position Details

Salary $120K – $145K USD / year

Type Full-Time

Experience mid

Exp. Years 3+ years

Education Not specified

Category Data & Analytics

About this role

We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and architectures, enabling data-driven decision-making across the organization. You will integrate diverse data sources, optimize storage, and support analytics and ML initiatives.

Key Responsibilities

Develop and implement scalable ETL processes using Informatica/Talend
Design and maintain data warehouses and lakes on Azure Data Lake, Hadoop, Hive
Build data pipelines with Spark, Python, Java, Bash
Collaborate to integrate linked data sources and develop RESTful APIs
Perform database design with Microsoft SQL Server and Oracle

Technical Overview

Role involves ETL development with Informatica/Talend, data warehouse and data lake design (Azure Data Lake, Hadoop, Hive), pipelines with Spark/Python/Java, RESTful APIs, and relational DB design (SQL Server, Oracle). Agile delivery and cross-functional collaboration are required.

Ideal Candidate

The ideal candidate is a mid-level Data Engineer with 3+ years of experience building scalable data pipelines and data platforms using Hadoop-based ecosystems, cloud storage, and BI tooling (Looker) in an Agile, data-driven environment.

Must-Have Skills

HadoopApache HiveSparkSQLShell ScriptingBashAmazon Web ServicesAzure Data LakeInformaticaTalendPythonJavaLinked dataLookerAgile

Tools & Platforms

InformaticaTalendAzure Data LakeHadoopApache HiveSparkPythonJavaLookerMicrosoft SQL ServerOracleRESTful APIs

Required Skills

Data EngineerETLHadoopApache HiveSparkSQLMicrosoft SQL ServerOraclePythonJavaLookerAzure Data LakeData WarehouseData LakeInformaticaTalendAWSAgileRESTful APIsBashShell Scripting

Hard Skills

ETLInformaticaTalendShell ScriptingBashPythonJavaSparkAzure Data LakeHadoopApache HiveRESTful APIsMicrosoft SQL ServerOracleLookerData WarehouseData LakeSQLAWSAmazon Web Services

Soft Skills

CommunicationCollaborationProblem-solvingAnalytical thinkingTeamworkAgile experienceCross-functional collaborationData-driven decision making

Industry & Role

Industry Real Estate Technology

Job Function Design, build, and maintain scalable data pipelines and architectures to enable data-driven decision making

Role Subtype Data Engineer

Tech Domains Python, Java, SQL / PostgreSQL, Microsoft SQL Server, Oracle, Azure, Amazon Web Services

Keywords for Your Resume

Data EngineerETLInformaticaTalendShell ScriptingBashPythonJavaSparkAzure Data LakeHadoopApache HiveMicrosoft SQL ServerOracleLookerData WarehouseData LakeRESTful APIsAgileSQLAWSAmazon Web Services

Deal Breakers

Lack of hands-on experience with Hadoop/Spark ecosystems, Insufficient SQL proficiency with SQL Server or Oracle, Reluctance to work in a remote environment

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