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Senior Data Engineer / BI & ETL Specialist_7+Years

7 years

10 - 18 Lacs

Posted:1 week ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

We are looking for a highly skilled

Senior Data Engineer / BI Consultant

with 7+ years of experience in implementing commercial projects across Data Engineering, Business Intelligence, ETL, and Data Warehousing. The ideal candidate will have strong hands-on expertise in SQL, ETL tools, BI platforms, and modern database environments.

Responsibilities

  • Lead end-to-end implementation of data projects in enterprise environments.
  • Design and develop robust and scalable ETL pipelines using industry-leading ETL tools.
  • Analyze business requirements and translate them into technical solutions using data models and visualizations.
  • Develop and manage reporting dashboards using BI tools like SAP Analytics Cloud, Power BI, Tableau, or Qlik.
  • Work with relational and columnar databases (e.g., Oracle, SAP BW, Teradata, Exasol) for efficient data processing.
  • Write optimized SQL for data extraction, transformation, and reporting purposes.
  • Collaborate with stakeholders to ensure timely delivery and effective business insights.
  • Implement data governance, metadata management, and security protocols in reporting and data warehousing.
  • Perform unit testing, peer reviews, and performance optimization of ETL and BI solutions.

Required Experience And Qualifications

  • 7+ years of hands-on experience in data engineering, BI, or data science projects.
  • Proficiency in SQL: including DML, DDL, DCL, and TCL operations.
  • Experience in BI tools: such as SAP Analytics Cloud, Tableau, Power BI, Qlik, or MicroStrategy.
  • ETL/Data Integration tools expertise: Informatica, Dataiku, Oracle Data Integrator, Talend, Pentaho DI, or IBM DataStage.
  • Strong knowledge of data warehousing platforms: Oracle, Teradata, SAP BW, or Exasol.
  • Ability to work independently and manage multiple priorities in a fast-paced environment.
  • Solid understanding of data modeling, performance tuning, and data lifecycle management.

Preferred Skills

  • Knowledge of cloud platforms (AWS, Azure, GCP) and integration with data/BI solutions.
  • Familiarity with big data technologies (Spark, Hive, HDFS) is a plus.
  • Understanding of DevOps practices and CI/CD in data project delivery.
  • Experience with version control tools like Git.
Skills: etl,qlik,talend,oracle data integrator,bi platforms,exasol,hive,devops practices,pentaho di,ibm datastage,ci/cd,aws,performance tuning,informatica,tableau,power bi,data lifecycle management,git,data modeling,hdfs,teradata,sql,etl tools,dataiku,oracle,gcp,azure,data warehousing,spark,sap analytics cloud,sap bw

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