TekIT Software Solutions
Website:
tekitsolution.com
Job details:
Job Description
The Senior Data Engineer will play a key role in designing, building, and maintaining
scalable data pipelines and modern data platforms across cloud and on-prem
environments. The role will focus on ensuring data reliability, performance, and
integration across multiple business domains while supporting analytics and
modernization initiatives.
Key Responsibilities:
1. Design, develop, and maintain end-to-end data pipelines and ETL/ELT
workflows using modern data engineering tools and frameworks.
2. Implement data ingestion, transformation, and orchestration processes across structured
and unstructured data sources.
3. Optimize cloud-based data environments (e.g., GCP, AWS, or Azure) for performance,
scalability, and cost efficiency.
4. Collaborate with architects, analysts to ensure consistent data delivery
5. Ensure data quality, lineage, and governance through best practices and automation.
6. Support CI/CD integration within data engineering pipelines.
7. Troubleshoot production issues and implement preventive monitoring solutions.
Required Skillsets:
1. 6–10 years of hands-on experience in Data Engineering.
2. Strong programming skills in Python, SQL, and one or more ETL tools (e.g., Dataflow,
Spark, Glue, or ADF).
3. Experience with Cloud Data Platforms such as GCP (BigQuery, Dataflow, Composer),
AWS (Redshift, Glue, EMR), or Azure (Synapse, Data Factory).
4. Proficient in data modeling, pipeline orchestration, and distributed processing frameworks
(e.g., Apache Spark, Airflow).
5. Solid understanding of DevOps practices and version control systems (Git, Jenkins).
6. Experience with data lake, data warehouse, and streaming solutions (Kafka, Pub/Sub).
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