Python
GitWe are looking for skilled Data Engineer to design, build, and maintain robust data pipelines and infrastructure. You will play a pivotal role in optimizing data flow, ensuring scalability, and enabling seamless access to structured/unstructured data across the organization. This role requires technical expertise in Python, SQL, ETL/ELT frameworks, and cloud data warehouses, along with strong collaboration skills to partner with cross-functional teams.
Company: BigThinkCode Technologies
URL:
Location: Chennai (Work from office / Hybrid)
Experience: 4 - 6 years
Key Responsibilities:
- Design, develop, and maintain scalable ETL/ELT pipelines to process structured and unstructured data.
- Optimize and manage SQL queries for performance and efficiency in large-scale datasets.
- Experience working with data warehouse solutions (e.g., Redshift, BigQuery, Snowflake) for analytics and reporting.
- Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions.
- Experience in Implementing solutions for streaming data (e.g., Apache Kafka, AWS Kinesis) is preferred but not mandatory.
- Ensure data quality, governance, and security across pipelines and storage systems.
- Document architectures, processes, and workflows for clarity and reproducibility.
Required Technical Skills:
- Proficiency in Python for scripting, automation, and pipeline development.
- Expertise in SQL (complex queries, optimization, and database design).
- Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, dbt, AWS Glue).
- Experience working with structured data (RDBMS) and unstructured data (JSON, Parquet, Avro).
- Familiarity with cloud-based data warehouses (Redshift, BigQuery, Snowflake).
- Knowledge of version control systems (e.g., Git) and CI/CD practices.
Preferred Qualifications:
- Experience with streaming data technologies (e.g., Kafka, Kinesis, Spark Streaming).
- Exposure to cloud platforms (AWS, GCP, Azure) and their data services.
- Understanding of data modelling (dimensional, star schema) and optimization techniques.
Soft Skills:
- Team player with a collaborative mindset and ability to mentor junior engineers.
- Strong stakeholder management skills to align technical solutions with business goals.
- Excellent communication skills to explain technical concepts to non-technical audiences.
- Proactive problem-solving and adaptability in fast-paced environments.
If interested, apply / reply by sharing your updated profile to connect and discuss.
Regards
Shubham Vishwakarma
Full Stack Developer - Averlon
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