Senior Data Engineer

2 weeks ago


Hyderabad, Telangana, India Alignity Solutions Full time
h3 {color: #00698f;} ul {list-style-type: disc;}Looking for a challenging role where you can apply your data engineering skills? As a Senior Data Engineer at Alignity Solutions, you will design and develop data pipelines using Python, PySpark, and Spark SQL. Your expertise will be essential in creating robust, scalable data pipelines and ensuring optimal performance of queries and data models.

Key Responsibilities:
  • Design and Develop Data Pipelines:
    • Create and maintain data pipelines using Python, PySpark, and Spark SQL.
    • Build Airflow DAG pipelines for seamless data ingestion and workflow automation.
  • Data Management and Processing:
    • Process large datasets using PySpark and DataFrames.
    • Leverage your expertise in SQL for data extraction, transformation, and loading (ETL).
  • Cloud Services and Architecture:
    • Implement and maintain data solutions on AWS using services like S3, Glue, Redshift, Lambda, IAM, EMR, Athena, and Spectrum.
    • Ensure data security, scalability, and cost-effectiveness within the AWS environment.
  • Collaboration and Support:
    • Work closely with application development teams to align data engineering solutions with business requirements.
    • Lead a team of engineers in project delivery.
  • Performance Optimization and Monitoring:
    • Conduct performance tuning and optimization of SQL queries.
    • Monitor and troubleshoot issues within data pipelines.

Requirements:
  • 5-6 years of experience in data engineering or related fields.
  • Proven track record of leading teams of at least 4 members.
  • Experience working within agile development environments, collaborating with cross-functional teams.

At Alignity Solutions, we are looking for an expert in data engineering to join our team. As a Data Engineering Lead, you will leverage your experience in designing and developing data pipelines to ensure the successful delivery of data-driven solutions. Your strong background in business intelligence (BI) and data warehousing technologies will be essential in this role.
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