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# **Job Title:** Senior Data Engineer **Location:** Gurugram, Haryana, India **Industry:** Technology **Employment Type:** Full-time | Partially remote --- ## About Us We turn customer challenges into growth opportunities. Srijan Technologies PVT LTD, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using deep technology expertise and strategic partnerships. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and their customers. --- ## Position Overview We are actively seeking a talented and experienced Senior Data Engineering Professional to join our growing team. The ideal candidate will possess deep expertise in Data Warehouse design and development, with a strong focus on leveraging AWS services such as AWS Glue and AWS Redshift.
The successful candidate will also have proficiency in advance SQL, Procedures, Apache Airflow, Data Ops, Python, good working knowledge of Agile methodologies, excellent coding practices, and expertise in reporting and visualizations. Additionally, excellent communication skills are a must, as the role involves leading discussions with architects, delivery teams, users, and stakeholders in both written and verbal forms. --- ## Key Responsibilities - **Data Warehouse Design and Development** - Lead the design and development of robust and scalable Data Warehouses using AWS Redshift and other relevant technologies. - Implement best practices for data modeling, schema design, and ETL processes to ensure optimal performance and data quality. - **AWS Services Expertise** - Utilize AWS services, particularly AWS Glue, for efficient & cost-effective data extraction, transformation, and loading (ETL) processes. - Leverage AWS Redshift for building and maintaining high-performance data warehouses. - **Procedures and Automation** - Develop and implement stored procedures, scripts, and automation processes to streamline data workflows and enhance efficiency. - **Apache Airflow and DataOps** - Implement and manage data pipelines using Apache Airflow, ensuring orchestration and automation of complex data workflows. - Advocate for and implement DataOps best practices to enhance collaboration, agility, and data quality. - **SQL & Python Programming** - Demonstrate proficiency in advanced SQL, Python programming for data manipulation, transformation, and integration tasks.
Decent Knowledge of API is required. - **Agile Methodologies** - Apply a good working knowledge of Agile methodologies and ceremonies to enhance team collaboration, efficiency, and adaptability. - **Coding Practices & Testing** - Promote and adhere to good coding practices, ensuring code readability, maintainability, and scalability. Understands and possesses the knowledge of various ways of testing data products and its artifacts. - **Reporting and Visualizations** - Collaborate with business stakeholders to understand reporting requirements and implement effective solutions. - Develop and maintain reporting and visualization tools to provide actionable insights from data. --- ## Qualifications **Education:** Bachelors or masters degree in computer science, Data Engineering & Science, or a related field.
B.E / B.Tech / M.Tech / MCA **Experience:** Proven experience as a Data Engineering Professional, with a focus on cloud-based solutions. **Technical Skills:** - Proficiency in cloud platforms (AWS, Azure, GCP). - Strong knowledge of data modeling, ETL processes, and data warehousing. - Experience with real-time and batch data processing frameworks. - Familiarity with data governance and security best practices. **Communication Skills:** - Excellent communication and interpersonal skills. - Ability to collaborate effectively with diverse teams and clients. --- ## Good to Have - Knowledge of Salesforce NPSP CRM or operations of Non-Profit organizations for healthcare. - Experience in migrating workloads from on-premises to cloud and cloud to cloud migrations. Along with AWS services other products and services like Snowflake, Databricks and Kafka etc will be an additional advantage. - Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technologies. - Coach and mentor engineers to raise the technical ability of the rest of the team, and/or to become certified in required Skills. - Implement and enforce data governance policies within AWS Glue, Redshift and other related services ensuring compliance with industry standards and data security. - Develop and implement data quality checks and monitoring processes within the AWS tech stack for Datawarehouse and Analytics environments. --- ## What We Offer - Professional Development and Mentorship. - Hybrid work mode with remote friendly workplace.
(6 times in a row Great Place To Work (Certified). - Health and Family Insurance. - 40 Leaves per year along with maternity & paternity leaves. - Wellness, meditation and Counselling sessions.
