Markovate - Senior Data Engineer - ETL/Python (5-7 yrs)

Job Description :

We are seeking an experienced Data Engineer with a background in data integration, ETL processes, and data warehousing.

The ideal candidate will have 5-7 years of experience in data engineering, with advanced knowledge of data architecture, pipeline creation, and big data technologies.

This role demands a proactive individual skilled in designing, building, and maintaining data systems, collaborating with cross-functional teams, and ensuring the highest standards of data quality and performance.

Job Responsibilities :

- Design, develop, and maintain scalable data pipelines for data ingestion, processing, and storage.

- Build and optimize data architectures and data models for efficient data storage and retrieval.

- Develop complex ETL processes to transform and load data from various sources into data warehouses and data lakes.

- Ensure data integrity, quality, and security across all data systems.

- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.

- Monitor, troubleshoot, and optimize data pipelines and workflows to ensure high availability and performance.

- Document data processes, architectures, and data flow diagrams.

Candidate Required Skills :

- Bachelor's degree in Computer Science, Engineering, or a related field.

- 5-7 years of experience in data engineering and data architecture.

- Proficiency in SQL and at least one programming language (e. , Python, Java, Scala).

- Advanced experience with cloud data platforms (e. , AWS, Azure, GCP) and their data services.

- Strong knowledge of ETL tools and frameworks (e. , Apache NiFi, Talend, Informatica).

- Expertise in data modeling, data structures, and database design.

- Strong analytical and problem-solving skills, with the ability to handle complex data challenges.

- Excellent communication and collaboration skills, with the ability to work independently and as part of a team.

- Experience with data warehousing solutions (e., Redshift, BigQuery, Snowflake).

- Hands-on experience with big data technologies (e. , Hadoop, Spark, Kafka).

- Knowledge of data governance and best practices in data management.

- Familiarity with containerization and orchestration tools (e. , Docker, Kubernetes).

- Experience with data visualization tools (e. , Tableau, Power BI)