V-Work Infotech Solutions INC

V-Work Infotech Solutions INC

Senior Data Engineer / Lead Data Engineer

Washington, District of Columbia, USA · Senior · Contract

Sponsorship not specifiedDetected 35 days ago
PythonGitSQLRedisElasticsearchBigQuerySnowflakeRedshiftDatabricksAWSGCPAzureCloud PlatformsDockerKubernetesTerraformCI/CDDevOpsKafkaMachine LearningSparkAirflowdbtData Engineering

About the role

  • Senior Data Engineer (12+ Years Experience) – W2 Only Job Title: Senior Data Engineer / Lead Data Engineer Experience: 12+ Years Employment Type: W2 Only Job Summary We are seeking a highly experienced Senior Data Engineer with 12+ years of experience in designing, developing, and optimizing enterprise-scale data platforms, ETL/ELT pipelines, data
  • warehouses, and cloud-based analytics solutions. The ideal candidate should be comfortable working on a W2 basis and possess strong expertise in modern data engineering technologies and cloud platforms. Key Responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines. Build and optimize enterprise data lakes, data warehouses, and data

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines.
  • Build and optimize enterprise data lakes, data warehouses, and data marts.
  • Develop batch and real-time data processing solutions.
  • Implement data integration solutions across multiple platforms and applications.
  • Collaborate with Data Scientists, Analysts, Product Owners, and Business Stakeholders.
  • Optimize database performance and large-scale data processing workflows.
  • Lead technical design discussions and mentor junior engineers.

Requirements

  • 12+ years of overall IT experience with strong Data Engineering expertise.
  • Advanced proficiency in Python, SQL, and/or Scala.
  • Extensive experience with Apache Spark, PySpark, Hadoop, Hive, and Kafka.
  • Strong expertise in ETL/ELT development and data pipeline architecture.
  • Hands-on experience with Databricks, Snowflake, Redshift, BigQuery, or Azure Synapse.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Strong understanding of Data Warehousing, Data Modeling, and Data Lake concepts.
  • Experience with Airflow, DBT, Azure Data Factory, Informatica, or Talend.
  • Experience with real-time streaming technologies such as Kafka, Spark Streaming, or Flink.
  • Knowledge of CI/CD, Docker, Kubernetes, Git, and DevOps practices.

Nice to have

  • Experience with Delta Lake and Lakehouse Architecture.
  • Experience with Terraform and Infrastructure as Code (IaC).
  • Cloud certifications (AWS, Azure, or Google Cloud Platform).
  • Nice-to-Have Skills Apache Flink Apache NiFi Elasticsearch Redis Data Mesh Architecture GenAI Data Pipelines Master Data Management (MDM) Employment Requirement Must be willing to work on a W2 basis.
  • No C2C or 1099 candidates.
  • The ideal candidate should be comfortable working on a W2 basis and possess strong expertise in modern data engineering technologies and cloud platforms.
  • Ensure data quality, governance, security, and compliance standards.
  • Monitor, troubleshoot, and resolve production data issues.
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