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Sr Data Engineer @ Exponentia Team

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 Sr Data Engineer

Job Description

Role Overview:

We are seeking an experienced Senior Data Engineer to lead the design, development, and optimization of scalable data pipelines and infrastructure. You will work closely with cross-functional teams to build data solutions that support business intelligence, analytics, and machine learning initiatives. This is a hands-on role requiring deep technical expertise, strategic thinking, and mentorship capabilities.

Job Responsibilities:


  • Design, build, and maintain scalable and reliable data pipelines (batch and streaming).

  • Develop and optimize ETL/ELT processes to support data integration from various sources.

  • Architect and manage modern data platforms (e.g., cloud-based data lakes/warehouses).

  • Implement data governance, security, and compliance protocols.

  • Collaborate with data scientists, analysts, and product teams to deliver high-quality data solutions.

  • Monitor data quality and implement tools to detect and resolve data issues.

  • Drive best practices in data engineering, including code reviews, testing, and CI/CD.

  • Mentor junior data engineers and help scale engineering processes and standards.

  • Leverage AI tools and methodologies to enhance data pipeline efficiency, anomaly detection, and predictive analytics.

  • Utilize Microsoft Fabric, specifically Notebooks, for designing and orchestrating data pipelines


Technical Skills:


  • 8+ years of hands-on experience in data engineering, data warehousing, or related fields.

  • Strong proficiency in SQL, Python/Scala/Java for data manipulation and pipeline development.

  • Experience with data orchestration tools like Airflow, Luigi, or Prefect.

  • Deep knowledge of the modern data stack: Spark, Kafka, Snowflake, Redshift, Microsoft Fabric, BigQuery, or Databricks.

  • Experience with Microsoft Fabric, including hands-on development using Notebooks.

  • Experience with cloud platforms such as AWS, GCP, or Azure (e.g., S3, Lambda, EMR, Glue, BigQuery).

  • Strong understanding of data modeling, warehousing, and distributed computing concepts.

  • Familiarity with DevOps practices and tools (Docker, Kubernetes, Terraform, Git, CI/CD).

Job Classification

Industry: Software Product
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Exponentia Team
Location(s): Mumbai

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Keyskills:   Warehouse GIT Data modeling data manipulation Cloud Data quality microsoft Business intelligence SQL Python

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Exponentia Team

Data is the new Oil and AI is the most powerful value accelerator today - this is one of the most important belief we live by. We are an award-winning AI-Tech MNC transforming businesses through AI, ML and Data Analytics Solutions. We help organizations solve complex business challenges by combin...