Greetings from SRIK Consulting Services Pvt Ltd !
SRIK Consulting Hiring : Data Engineer || Remote -- Pan INDIA || 7 Years
Job Description:
We are looking for a Data Engineer to design, build, and maintain scalable data pipelines that support analytics and data products. The role involves working closely with data scientists and engineering teams to ensure reliable and efficient data infrastructure.
Key Responsibilities
Design and develop data pipelines (batch and streaming) using Databricks and PySpark.
Write optimized PySpark code to process large datasets.
Build and manage CI/CD pipelines for data workflows using GitHub / GitHub Actions / Azure DevOps.
Implement data validation and data quality checks.
Monitor pipelines using logging, alerting, and observability tools.
Collaborate with cross-functional teams and document data pipeline architecture.
Mandatory Skills
7 years of Data Engineering experience
Databricks
PySpark
End-to-end Data Pipeline Development (Batch / Streaming)
GitHub (branching, pull requests, code reviews)
CI/CD for Data Pipelines (GitHub Actions / Azure DevOps)
Data Validation / Data Quality Frameworks
Pipeline Monitoring (Logging, Alerting, SLA tracking)
Apache Kafka
Data Warehousing / Lakehouse Architecture concepts
Good to Have
MongoDB or other NoSQL databases
Data Governance
Data Modeling
Spark Streaming
How to Apply:
Please share your updated resume in word format hiring.srikconsulting@gmail.com or call us on +91 81795 52716 along with the following details:
Total Experience (T. Exp)
Relevant Experience in Data Engineer : (R. Exp)
Current CTC (C. CTC)
Expected CTC (E. CTC)
Notice Period
Current Location (C. Location)
Preferred Work Location
Mobile Number
In case of Contractor need your budget per hour in INR :
References:
We highly appreciate any references you can provide.
Thank you for your interest in SRIK Consulting!
For More Career opportunities follow on https://srikconsulting08.blogspot.com
GREAT
ReplyDeleteA Data Engineer is responsible for designing, developing, and maintaining systems that collect, store, process, and manage large volumes of data. Data Engineers build efficient data pipelines and ensure that data is accurate, organized, and easily accessible for analysis and business decision-making. Data Engineering Training.They work with technologies such as Python, SQL, Apache Spark, Hadoop, ETL tools, and cloud platforms like AWS, Azure, and Google Cloud. They also handle data integration, database management, data transformation, and data warehousing. Data Engineers play an important role in supporting Data Science, Artificial Intelligence, Machine Learning, and Business Analytics applications.
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