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Data Engineer
PureSoftware
posted 1mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Data Pipeline Development : Experienced in creating robust, scalable, and efficient data pipelines using tools like Apache Spark, Apache Kafka, or similar technologies. They are adept at handling both batch and streaming data processing.
- Data Modeling and Warehousing : Proficient in designing data models and implementing data warehouses (e.g., using tools like Amazon Redshift, Google BigQuery, or Snowflake) to support analytical and operational requirements.
- Database Management : Skilled in working with various types of databases (SQL, NoSQL) and optimizing database queries for performance. They understand database design principles and normalization.
- ETL (Extract, Transform, Load) : Experienced in ETL processes, including data extraction from different sources, data transformation using scripting (Python, Scala, etc.), and loading transformed data into target data warehouses or databases.
- Data Integration and APIs : Capable of integrating data from multiple sources and APIs, ensuring data consistency and reliability across different systems.
- Big Data Technologies : Familiarity with big data frameworks and technologies such as Hadoop, Hive, HBase, etc., for handling large-scale data processing and storage.
- Cloud Platforms : Experience with Azure cloud platforms, leveraging their services for data storage, processing, and analytics.
- Data Quality and Governance : Understanding of data quality best practices and data governance frameworks to ensure data integrity, security, and compliance with regulations (GDPR, HIPAA, etc.).
- Scripting and Programming : Strong programming skills in languages like Python, Scala, Java, etc., for data manipulation, automation, and building data-driven applications.
- Monitoring and Optimization : Proficient in monitoring data pipelines and infrastructure for performance bottlenecks, troubleshooting issues, and optimizing processes for efficiency and cost-effectiveness.
- Collaboration and Communication : Effective communication skills to collaborate with cross-functional teams including data scientists, analysts, and stakeholders, translating business requirements into technical solutions.
- Continuous Learning and Adaptability : A proactive approach to staying updated with industry trends, new technologies, and best practices in data engineering.
Employment Type: Full Time, Permanent
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People are getting interviews at PureSoftware through
People are getting interviews through
(based on 31 PureSoftware interviews)
Job Portal
Referral
Campus Placement
Walkin
54%
10%
10%
3%
23% candidates got the interview through other sources.
High
Confidence
?
High Confidence means the data is based on a large number of responses received from the candidates.
What people at PureSoftware are saying
Rating based on 2 Data Engineer
reviews
Anonymous · Data Science & Machine Learning
Likes
Good
Dislikes
None none nathing to dislike or like.
Read 2 reviewsData Engineer salary at PureSoftware
reported by
9
employees
with 3-6
years exp.
₹12
L/yr - ₹24
L/yr
77%
more
than the average Data Engineer Salary in India
View more details
What PureSoftware employees are saying about work life
based on 407 employees
Flexible timing
Monday to Friday
No travel
Day Shift
PureSoftware Benefits
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