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Data Engineering Lead

3 months ago

Alwar, India eClerx Full time

Company Overview:

At eClerx, we are a leading IT firm specializing in cutting-edge technologies and solutions for our clients. We excel in innovative business process management, change management, data-driven insights, and advanced analytics, powered by subject matter experts and smart automation. Our clients benefit from our operational and domain expertise, helping them improve efficiency, productivity, speed, and quality in dynamic, ever-evolving markets.


About the Role:

We are seeking an experienced and highly skilled Data Engineering Lead to join our team. As the Data Engineering Lead, you will oversee the design, development, and maintenance of our data infrastructure, ensuring its reliability, scalability, and performance. You will work closely with cross-functional teams, including data scientists, software engineers, and analysts, to support their data needs and enable data-driven decision-making. Additionally, you will manage a team of data engineers and lead the development of data engineering products, providing technical guidance and fostering a collaborative and innovative work environment.


Responsibilities:

  • Lead and manage a team of data engineers, providing mentorship, guidance, and technical expertise to ensure the successful execution of data engineering projects.
  • Collaborate with stakeholders, including data scientists, software engineers, and analysts, to understand business requirements and translate them into scalable data solutions.
  • Design, implement, and maintain robust data infrastructure, including data pipelines, data warehouses, and ETL processes, ensuring the reliability, scalability, and performance of the systems.
  • Optimize data pipelines and workflows to improve efficiency and reduce processing time.
  • Implement and manage cloud-based data platforms, including AWS, Azure, and Google Cloud Platform (GCP), leveraging services such as S3, Redshift, BigQuery, and Data Lake Houses.
  • Lead efforts in Data Ingestion, Data Integration, Data Migration, and Data Governance using tools like Databricks, Snowflake, and Apache Iceberg.
  • Design and develop data models and databases, ensuring seamless integration and high performance, with experience in SQL and other database query languages.
  • Lead the development and management of data engineering products, ensuring that they meet the needs of the business and provide value to stakeholders.
  • Stay up to date with the latest trends and advancements in data engineering, recommending and implementing innovative solutions to enhance our data infrastructure.
  • Conduct performance evaluations, provide feedback, and foster a culture of continuous learning and professional development within the data engineering team.
  • Collaborate with cross-functional teams to define data engineering standards, processes, and tools to enhance productivity and collaboration.


Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Overall experience of 15+ years with proven experience (9+ years) working in data engineering, focusing on designing and implementing data infrastructure and pipelines.
  • Excellent understanding of the software development life cycle and/or agile development environment, with an emphasis on BI practices.
  • Strong expertise in programming languages such as Python, Java, or Scala, with experience in SQL and database query languages.
  • Experience with big data technologies such as Hadoop, Spark, or Kafka.
  • Proficiency in working with cloud-based data platforms (AWS, GCP, Azure) and related services (S3, Redshift, BigQuery, Data Lake Houses).
  • In-depth knowledge of data modeling, data warehousing, and ETL processes.
  • Experience with data ingestion, data integration, data migration, and data governance.
  • Proven experience in developing and managing data engineering products that drive business value.
  • Strong leadership and team management skills, with the ability to motivate and inspire a team of data engineers.
  • Excellent problem-solving and analytical skills, with the ability to handle complex data challenges.
  • Effective communication skills, both verbal and written, with the ability to convey technical concepts to non-technical stakeholders.


Join our team as a Data Engineering Lead and contribute to the success of our clients by building robust data infrastructure and driving data-driven decision-making. Together, we can revolutionize the world of data engineering and make a lasting impact in the IT industry. Apply now and be part of our exciting journey


Interested Candidates can send their updated resumes to Rohan.Poojary@eclerx.com