Data Engineer

We are seeking a skilled Data Engineer with over 5+ years of experience to design, build, and maintain scalable data pipelines and perform advanced data analysis to support business intelligence and data-driven decision-making. The ideal candidate will have a strong foundation in computer science principles, extensive experience with SQL and big data tools, and proficiency in cloud platforms and data visualization tools.

Key Responsibilities :

• Design, develop, and maintain robust, scalable ETL pipelines using Apache Airflow, DBT, Composer (GCP), Control-M, Cron, Luigi, and similar tools.
• Build and optimize data architectures including data lakes and data warehouses.
• Integrate data from multiple sources ensuring data quality and consistency.
• Collaborate with data scientists, analysts, and stakeholders to translate business requirements into technical solutions.
• Analyze complex datasets to identify trends, generate actionable insights, and support decision-making.
• Develop and maintain dashboards and reports using Tableau, Power BI, and Jupyter Notebooks for visualization and pipeline validation.
• Manage and optimize relational and NoSQL databases such as MySQL, PostgreSQL, Oracle, MongoDB, and DynamoDB.
• Work with big data tools and frameworks including Hadoop, Spark, Hive, Kafka, Informatica, Talend, SSIS, and Dataflow.
• Utilize cloud data services and warehouses like AWS Glue, GCP Dataflow, Azure Data Factory, Snowflake, Redshift, and BigQuery.
• Support CI / CD pipelines and DevOps workflows using Git, Docker, Terraform, and related tools.
• Ensure data governance, security, and compliance standards are met.
• Participate in Agile and DevOps processes to enhance data engineering workflows.

Required Qualifications :

Preferred Skills :