Data Solutions Architect

2 weeks ago


Madurai, Tamil Nadu, India beBeeDataEngineer Full time ₹ 30,00,000 - ₹ 40,00,000
Job Description

We are seeking a highly skilled and experienced data engineer to lead our team. As a key member, you will be responsible for designing, developing, and deploying scalable data pipelines and ETL processes using Scala and Apache Spark (Databricks).

You will design and develop data processing workflows using PySpark and Python, collaborate with data scientists, analysts, and business stakeholders to understand data requirements, and deliver robust data solutions.

You will architect and implement data ingestion, transformation, and integration solutions for structured and unstructured data, optimize Spark jobs for performance and cost efficiency on cloud platforms, and lead, mentor, and guide a team of data engineers.

You will establish and enforce data engineering standards, code reviews, and documentation, troubleshoot and resolve complex data pipeline issues, and stay current with emerging technologies and recommend improvements to existing data infrastructure.

Required Skills and Qualifications
  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Experience: 10+ years of professional experience in data engineering.
  • Programming Skills: Strong hands-on programming experience in Scala, with a deep understanding of functional programming concepts.
  • Apache Spark Experience: Extensive experience with Apache Spark, including Spark SQL, Spark Streaming, and optimization techniques.
  • Python and PySpark Experience: Proficiency in Python and PySpark for data processing tasks.
  • Databricks Experience: Experience working with Databricks or similar cloud-based Spark platforms.
  • Distributed Computing Knowledge: Solid understanding of distributed computing, big data architectures, and data modeling.
  • Cloud Platform Experience: Experience with cloud platforms such as AWS, Azure, or GCP.
  • Data Storage Technologies: Familiarity with data storage technologies like HDFS, S3, Delta Lake, and relational/non-relational databases.
  • Leadership Skills: Strong leadership skills with experience leading and mentoring engineering teams.
  • Skill Set: Excellent problem-solving, communication, and collaboration skills.
Benefits

This is an opportunity to work with a talented team of data engineers, collaborate with experts in the field, and contribute to the development of innovative data solutions.

The ideal candidate will have a passion for data engineering, excellent technical skills, and strong leadership abilities.

Others

Please note that this is not a remote job.



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