5 years

15 - 25 Lacs

Posted:3 weeks ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Data Engineer – On-Site, India

Industry:

Enterprise Data Analytics & Digital Transformation Consulting. We architect and operationalize large-scale data platforms that power BI, AI, and advanced reporting for global clients across finance, retail, and manufacturing. Leveraging modern cloud services and proven ETL frameworks, our teams turn raw data into trusted, analytics-ready assets that accelerate business decisions.Role & Responsibilities
  • Design, build, and optimize end-to-end ETL pipelines that ingest, cleanse, and transform high-volume datasets using SQL and ELT best practices.
  • Create scalable data models and dimensional schemas to support reporting, dashboarding, and machine-learning use-cases.
  • Develop and maintain batch and near-real-time workflows in Airflow or similar orchestration tools, ensuring fault tolerance and SLA compliance.
  • Collaborate with analysts, data scientists, and product owners to translate business requirements into performant data solutions.
  • Implement rigorous data quality checks, lineage tracking, and metadata management to guarantee trust and auditability.
  • Tune queries, indexes, and storage partitions for cost-efficient execution across on-premise and cloud data warehouses.

Skills & Qualifications

Must-Have

  • 5+ years hands-on experience as a Data Engineer or similar.
  • Advanced SQL proficiency for complex joins, window functions, and performance tuning.
  • Proven expertise in building ETL/ELT pipelines with tools such as Informatica, Talend, or custom Python.
  • Solid understanding of dimensional modeling, star/snowflake schemas, and data-vault concepts.
  • Experience with workflow orchestration (Airflow, Luigi, or equivalent) and version control (Git).
  • Strong grasp of data quality frameworks and error-handling strategies.

Preferred

  • Exposure to cloud platforms (AWS Redshift, Azure Synapse, or Google BigQuery).
  • Knowledge of containerization and CI/CD pipelines for data workloads.
  • Familiarity with streaming technologies (Kafka, Kinesis) and real-time ETL patterns.
  • Working knowledge of BI tools (Tableau, Power BI) and their data connectivity.
Benefits & Culture Highlights
  • Work with high-calibre data practitioners and cutting-edge cloud tech.
  • Merit-driven growth path, certification sponsorships, and continuous learning stipends.
  • Inclusive, innovation-first culture that rewards problem-solving and ownership.
Skills: kafka,data warehouse,containerization,airflow,elt,luigi,error-handling strategies,git,aws redshift,talend,star schema,power bi,informatica,data vault,ci/cd,azure synapse,etl,sql,kinesis,performance tuning,data modeling,data quality frameworks,python,dimensional modeling,snowflake schema,tableau,google bigquery

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