AWS Data Engineer

Job Description

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.

Essential Functions

Key Responsibilities :

Exp : 5+ years

• 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.

Qualifications

Required Qualifications :

Would be a plus

Preferred Skills

We offer

About Us

Grid Dynamics (NASDAQ : GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

Skills Required

Postgresql, AWS Glue, Kafka, Tableau, Informatica, Cron, Apache Airflow, Docker, Terraform, snowflake , dbt, Control-M, Talend, Python, composer , BigQuery, Hadoop, Power Bi, Apache Spark, Dynamodb, Redshift, Ssis, Sql, Git, Hive, Azure Data Factory, Gcp, Mongodb, DataFlow