Senior Data Engineer
- Exponentia Datalabs
- 8 - 10 years
- Mumbai
- 6 months ago
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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: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: Exponentia DatalabsLocation(s): Mumbai
Keyskills: Data Engineer MS Fabric Data Bricks ETL
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Exponentia Datalabs
Exponentia DataLabs Exponentia DataLabs provides intelligent products/platforms capable of automated cognitive decision making to improve productivity, quality and economics of the underlying business processes.
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