Software Development Engineer (Data Engineering)

GRUVE TECHNOLOGIES INDIA PRIVATE LIMITED

3 - 5 years

15 - 30 Lacs

Bengaluru

Posted:4 days ago| Platform:

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Skills Required

data scala data pipeline azure data factory kinesis sql cloud analytics spark gcp design looker big data snowflake python workflow data manipulation data processing microsoft azure power bi data engineering data bricks tableau kafka processing performance optimization aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

Position summary:

Key Responsibilities:

Work with cloud-based data solutions (Azure, AWS, GCP).
Implement data modeling and warehousing solutions.
Developing and maintaining data pipelines for efficient data extraction, transformation, and loading (ETL) processes.
Designing and optimizing data storage solutions, including data warehouses and data lakes.
Ensuring data quality and integrity through data validation, cleansing, and error handling.
Collaborating with data analysts, data architects, and software engineers to understand data requirements and deliver relevant data sets (e.g., for business intelligence).
Implementing data security measures and access controls to protect sensitive information.
Monitor and troubleshoot issues in data pipelines, notebooks, and SQL queries to ensure seamless data processing.
Develop and maintain Power BI dashboards and reports.
Work with DAX and Power Query to manipulate and transform data.

Basic Qualifications

Bachelor’s or master’s degree in computer science or data science
3-5 years of experience in data engineering, big data processing, and cloud-based data platforms.
Proficient in SQL, Python, or Scala for data manipulation and processing.
Proficient in developing data pipelines using Azure Synapse, Azure Data Factory, Microsoft Fabric.
Experience with Apache Spark, Databricks and Snowflake is highly beneficial for handling big data and cloud-based analytics solutions.

Preferred Qualifications

Knowledge of streaming data processing (Apache Kafka, Flink, Kinesis, Pub/Sub).
Experience in BI and analytics tools (Tableau, Power BI, Looker).
Familiarity with data observability tools (Monte Carlo, Great Expectations).
Contributions to open-source data engineering projects.

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