Senior Azure Data Engineer| Immediate Joiners | Remote

Enable Data Incorporated; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

A leading company in data solutions is seeking an experienced Data Engineer to design and maintain robust cloud data solutions. The role involves optimizing data pipelines and collaborating with teams to enhance data processing. Candidates should have extensive experience with Azure and Apache Spark, along with strong problem-solving skills. This is a remote position with opportunities for immediate joining.

Qualifications

• 10+ years of experience as a Data Engineer with a focus on cloud-based solutions.
• Strong experience with cloud platforms such as Azure or AWS.

Responsibilities

• Design, develop, and maintain scalable data solutions using Apache Spark and Databricks.
• Build and optimize data pipelines for ingestion, processing, and integration.

Skills

Azure Data Bricks

Azure Data Factory

Spark Streaming

Pyspark

Python

SQL

Spark

Education

Bachelor's or master's degree in computer science

Tools

Apache Spark

Databricks

Apache Airflow

Job description

Experience Required: 8+ Years

Mode of work: Remote

Skills Required: Azure Data Bricks, Azure Data Factory, Spark Streaming, Pyspark, Python, SQL, Spark

Notice Period: Immediate Joiners / Permanent / Contract role (Can join within May 15th)

Responsibilities

• Design, develop, and maintain scalable and robust data solutions in the cloud using Apache Spark and Databricks.
• Gather and analyze data requirements from business stakeholders and identify opportunities for data-driven insights.
• Build and optimize data pipelines for data ingestion, processing, and integration using Spark and Databricks.
• Work on Spark Streaming Data.
• Ensure data quality, integrity, and security throughout all stages of the data lifecycle.
• Collaborate with cross-functional teams to design and implement data models, schemas, and storage solutions.
• Optimize data processing and analytics performance by tuning Spark jobs and leveraging Databricks features.
• Provide technical guidance and expertise to junior data engineers and developers.
• Stay up to date with emerging trends and technologies in cloud computing, big data, and data engineering.
• Contribute to the continuous improvement of data engineering processes, tools, and best practices.

Requirements

• Bachelor's or master's degree in computer science, engineering, or a related field.
• 10+ years of experience as a Data Engineer with a focus on building cloud-based data solutions.
• Strong experience with cloud platforms such as Azure or AWS.
• Proficiency in Apache Spark and Databricks for large-scale data processing and analytics.
• Experience in designing and implementing data processing pipelines using Spark and Databricks.
• Strong knowledge of SQL and experience with relational and NoSQL databases.
• Experience with data integration and ETL processes using tools like Apache Airflow or cloud-native orchestration services.
• Good understanding of data modelling and schema design principles.
• Experience with data governance and compliance frameworks.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration skills to work effectively in a cross-functional team.

Interested candidates can share their resume or refer a friend to [e-mail] for quick response.