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Blumetra

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3.5

based on 26 Reviews

2 Blumetra Lead Data Engineer Jobs

Lead Data Engineer

BLUMETRA SOLUTIONS INDIA PRIVATE LIMITED

3.5

based on 26 Reviews

7-11 years

Hyderabad / Secunderabad

1 vacancy

Lead Data Engineer

Blumetra

posted 8d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics Python SQL Oracle Informatica MySQL

+ 4 more

Job Description

Responsibilities

Data Architecture Design :
Lead the design and implementation of robust data architectures that support data warehousing (DWH), data integration, and analytics platforms.
Develop and maintain ETL (Extract, Transform, Load) pipelines to ensure the efficient processing of large datasets.
ETL Development :
Design, develop, and optimize ETL processes using tools like Informatica Power Center, Intelligent Data Management Cloud (IDMC), or custom Python scripts.
Implement data transformation and cleansing processes to ensure data quality and consistency across the enterprise.
Data Warehouse Development :
Build and maintain scalable data warehouse solutions using Snowflake, Databricks, Redshift, or similar technologies.
Ensure efficient storage, retrieval, and processing of structured and semi-structured data.
Big Data Cloud Technologies :
Utilize AWS Glue and PySpark for large-scale data processing and transformation.
Implement and manage data pipelines using Apache Airflow for orchestration and scheduling.
Leverage cloud platforms (AWS, Azure, GCP) for data storage, processing, and analytics.
Data Management Governance :
Establish and enforce data governance and security best practices.
Ensure data integrity, accuracy, and availability across all data platforms.
Implement monitoring and alerting systems to ensure data pipeline reliability.
Collaboration Leadership :
Work closely with data Stewards, analysts, and business stakeholders to understand data requirements and deliver solutions that meet business needs.
Mentor and guide junior data engineers, fostering a culture of continuous learning and development within the team.
Lead data-related projects from inception to delivery, ensuring alignment with business objectives and timelines.
Database Management :
Design and manage relational databases (RDBMS) to support transactional and analytical workloads.
Optimize SQL queries for performance and scalability across various database platforms.

Required Skills Qualifications:

Education : Bachelor s or Master s degree in Computer Science, Information Systems, Engineering, or a related field.
Experience :
Minimum of 7+ years of experience in data engineering, ETL, and data warehouse development.
Proven experience with ETL tools like Informatica Power Center or IDMC.
Strong proficiency in Python and PySpark for data processing.
Experience with cloud-based data platforms such as AWS Glue, Snowflake, Databricks, or Redshift.
Hands-on experience with SQL and RDBMS platforms (e.g., Oracle, MySQL, PostgreSQL).
Familiarity with data orchestration tools like Apache Airflow.
Technical Skills :
Advanced knowledge of data warehousing concepts and best practices.
Strong understanding of data modeling, schema design, and data governance.
Proficiency in designing and implementing scalable ETL pipelines.
Experience with cloud infrastructure (AWS, Azure, GCP) for data storage and processing.
Soft Skills :
Excellent communication and collaboration skills.
Ability to lead and mentor a team of engineers.
Strong problem-solving and analytical thinking abilities.

Ability to manage multiple projects and prioritize tasks effectively[Be specific when describing each of the responsibilities. Use gender-neutral, inclusive language.]

Example: Determine and develop user requirements for systems in production, to ensure maximum usability

Qualifications

Preferred Qualifications:

Experience with machine learning workflows and data science tools.
Certification in AWS, Snowflake, Databricks, or relevant data engineering technologies.
Experience with Agile methodologies and DevOps practices.

[Some qualifications you may want to include are Skills, Education, Experience, or Certifications.]

Example: Excellent verbal and written communication skills

Employment Type: Full Time, Permanent

Read full job description

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