Search by job, company or skills

Data Engineer

Data Engineer

Accenture
3-5 Years
Not Disclosed
Early Applicant
  • Posted 19 hours ago
  • Be among the first 10 applicants

Job Description

Project Role : Data Engineer

Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Must have skills : Data Engineering, Databricks Unified Data Analytics Platform, PySpark

Good to have skills : NA

Minimum 3 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow across various systems. Ensuring the accuracy and quality of data is a key part of your role, along with implementing processes to extract, transform, and load data effectively. Your work enables seamless data migration and deployment, supporting the broader data infrastructure and analytics needs of the organization.

Roles & Responsibilities:

  • Expected to perform independently and become an SME.
  • Required active participation/contribution in team discussions.
  • Contribute in providing solutions to work related problems.
  • Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions.
  • Monitor and optimize data pipelines to ensure high performance and reliability.
  • Document data processes and workflows to maintain clarity and support knowledge sharing.
  • Assist junior team members by providing guidance and support in their tasks.

Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Data Engineering, Databricks Unified Data Analytics Platform, PySpark.
  • Strong experience in building and managing scalable data pipelines and ETL workflows.
  • Familiarity with cloud-based data platforms and distributed computing frameworks.
  • Ability to work with large datasets and ensure data integrity and quality throughout the data lifecycle.
  • Experience in optimizing data storage and retrieval for performance and cost efficiency.

Additional Information:

  • The candidate should have minimum 3 years of experience in Data Engineering.
  • This position is based at our Coimbatore office.
  • A 15 years full time education is required.




More Info

Job Type:
Industry:
Employment Type:

Key Skills

Databricks Unified Data Analytics Platform

Distributed computing frameworks

Data pipelines

Cloud-based data platforms

About Company

Similar Jobs

5-7 yrs
Coimbatore, India
Skills:
data engineering , Etl, Snowflake Data Warehouse, Data Build Tool, Data pipeline architecture, Cloud-based data storage and processing
5-7 yrs
Coimbatore, India
Skills:
Gcp, Spark, Databricks, Microsoft Azure, Python, Sql, AWS, Data engineering best practices
6-8 yrs
Coimbatore, India
Skills:
Spark SQL, Power Bi, Sql, Java, Python, Hadoop, Tableau, Pyspark, NoSQL databases
5-7 yrs
Coimbatore, Pune, India
Skills:
snowflake , cloud integration, Machine Learning, Data Warehouse, Sap Apo, Power Bi, Sql, Data Visualization, Excel, Data Lake, Python, Statistics, R, ETL processes, big data solutions
4-7 yrs
Coimbatore, India
Skills:
Elasticsearch, RDBMS, Solr, MySQL, Cassandra, Python Programming, Data mining, Data pipelines, crawlers