Senior Sr. Data Engineer
Experience: 7–9 Years
Onsite: As per the client's preference
Contract: W2

Roles & Responsibilities
Design, build, and maintain scalable and reliable data pipelines for batch and real-time data processing
Architect and manage modern data lake, data warehouse, and lakehouse solutions across cloud platforms
Develop and maintain ETL/ELT workflows to ingest, transform, and deliver data to downstream consumers
Optimize data models, schemas, and query performance for large-scale analytical workloads
Collaborate with data scientists, ML engineers, and business analysts to deliver clean, reliable data products
Implement data quality checks, validation frameworks, and observability tooling across pipelines
Build and maintain streaming data solutions using Kafka, Spark Streaming, or Flink
Enforce data governance, lineage tracking, and security best practices across all data assets
Support CI/CD for data pipelines and infrastructure using modern DevOps practices
Tools & Technologies
Languages: Python, SQL, Scala (preferred)
Pipeline / ETL: Apache Spark, Apache Airflow, dbt, Glue, Dataflow
Streaming: Apache Kafka, Spark Streaming, Apache Flink
Cloud Platforms: AWS (Redshift, S3, Glue, EMR), GCP (BigQuery, Dataflow, Pub/Sub), Azure (Synapse, Data Factory, ADLS)
Data Warehouse / Lakehouse: Snowflake, Databricks, Delta Lake, BigQuery, Redshift
Orchestration: Apache Airflow, Prefect, Dagster
Containers: Docker, Kubernetes
Version Control & CI/CD: Git, GitHub Actions, Jenkins, Terraform
Data Quality: Great Expectations, dbt tests, Monte Carlo
Requirements
7–9 years of overall experience in data engineering or software engineering
4+ years of hands-on experience designing and maintaining production-grade data pipelines
Strong expertise in at least one major cloud platform — AWS, GCP, or Azure
Deep knowledge of distributed computing and large-scale data processing using Spark
Experience with both batch and real-time streaming data architectures
Degree in Computer Science, Engineering, Mathematics, or equivalent practical experience

Data Engineer

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