Arizona Staffing
INTL India - Onsite Lead Data Engineer (Databricks and Snowflake
Arizona Staffing, Tempe, Arizona, us, 85285
Lead Data Engineer
A client in Charlotte, NC is looking for a Lead Data Engineer to join their team. As the Technical Lead Data Engineer, your primary responsibility will be to spearhead the design, development, and implementation of data solutions aimed at empowering the organization to derive actionable insights from intricate datasets. You will take the lead in guiding a team of data engineers, fostering collaboration with cross-functional teams, and spearheading initiatives geared towards fortifying our data infrastructure, CI/CD pipelines, and analytics capabilities. Responsibilities include: Apply advanced knowledge of Data Engineering principles, methodologies, and techniques to design and implement data loading and aggregation frameworks. Gather and process raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks. Implement and optimize data solutions in enterprise data warehouses and big data repositories, focusing primarily on movement to the cloud. Drive new and enhanced capabilities to Enterprise Data Platform partners to meet the needs of product/engineering/business. Experience building enterprise systems especially using Databricks, Snowflake, and platforms like Azure, AWS, and GCP. Leverage strong Python, Spark, and SQL programming skills to construct robust pipelines for efficient data processing and analysis. Implement CI/CD pipelines for automating build, test, and deployment processes to accelerate the delivery of data solutions. Implement data modeling techniques to design and optimize data schemas, ensuring data integrity and performance. Drive continuous improvement initiatives to enhance performance, reliability, and scalability of our data infrastructure. Collaborate with data scientists, analysts, and other stakeholders to understand business requirements and translate them into technical solutions. Implement best practices for data governance, security, and compliance to ensure the integrity and confidentiality of our data assets. Skills and Requirements: Must be onsite 5 days per week. 8+ years of experience in a data engineering role, with expertise in designing and building data pipelines, ETL processes, and data warehouses. 3+ years of experience working as a lead and developing/mentoring other engineers. Experience working with Snowflake. Strong proficiency in SQL, Python, and Spark programming languages. Strong experience with cloud platforms such as AWS, Azure, or GCP. Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, and distributed computing frameworks. Knowledge of data lake and data warehouse solutions, including Databricks, Snowflake, Amazon Redshift, Google BigQuery, Azure Data Factory, Airflow, etc. Experience in implementing CI/CD pipelines for automating build, test, and deployment processes. Solid understanding of data modeling concepts, data warehousing architectures, and data management best practices. Excellent communication and leadership skills, with the ability to effectively collaborate with cross-functional teams and drive consensus on technical decisions. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex, sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.
A client in Charlotte, NC is looking for a Lead Data Engineer to join their team. As the Technical Lead Data Engineer, your primary responsibility will be to spearhead the design, development, and implementation of data solutions aimed at empowering the organization to derive actionable insights from intricate datasets. You will take the lead in guiding a team of data engineers, fostering collaboration with cross-functional teams, and spearheading initiatives geared towards fortifying our data infrastructure, CI/CD pipelines, and analytics capabilities. Responsibilities include: Apply advanced knowledge of Data Engineering principles, methodologies, and techniques to design and implement data loading and aggregation frameworks. Gather and process raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks. Implement and optimize data solutions in enterprise data warehouses and big data repositories, focusing primarily on movement to the cloud. Drive new and enhanced capabilities to Enterprise Data Platform partners to meet the needs of product/engineering/business. Experience building enterprise systems especially using Databricks, Snowflake, and platforms like Azure, AWS, and GCP. Leverage strong Python, Spark, and SQL programming skills to construct robust pipelines for efficient data processing and analysis. Implement CI/CD pipelines for automating build, test, and deployment processes to accelerate the delivery of data solutions. Implement data modeling techniques to design and optimize data schemas, ensuring data integrity and performance. Drive continuous improvement initiatives to enhance performance, reliability, and scalability of our data infrastructure. Collaborate with data scientists, analysts, and other stakeholders to understand business requirements and translate them into technical solutions. Implement best practices for data governance, security, and compliance to ensure the integrity and confidentiality of our data assets. Skills and Requirements: Must be onsite 5 days per week. 8+ years of experience in a data engineering role, with expertise in designing and building data pipelines, ETL processes, and data warehouses. 3+ years of experience working as a lead and developing/mentoring other engineers. Experience working with Snowflake. Strong proficiency in SQL, Python, and Spark programming languages. Strong experience with cloud platforms such as AWS, Azure, or GCP. Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, and distributed computing frameworks. Knowledge of data lake and data warehouse solutions, including Databricks, Snowflake, Amazon Redshift, Google BigQuery, Azure Data Factory, Airflow, etc. Experience in implementing CI/CD pipelines for automating build, test, and deployment processes. Solid understanding of data modeling concepts, data warehousing architectures, and data management best practices. Excellent communication and leadership skills, with the ability to effectively collaborate with cross-functional teams and drive consensus on technical decisions. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex, sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.