Job Description
The Branding Club, a dynamic and forward-thinking branding agency, is embarking on an ambitious project to redefine the boundaries of digital branding. In collaboration with Hard.Coded, a leader in creating software development teams, we are assembling a high-performance team of around 17-20 FTE to deliver a groundbreaking product from the ground up. This project is not just about meeting expectations but exceeding them, setting new benchmarks for quality and innovation in the industry.
Role Overview
We are seeking a highly skilled and experienced Data Engineer to join our dynamic team. In this role, you will be crucial in managing and optimizing the data infrastructure required to support our cutting-edge applications. You will work closely with our development and product teams to ensure our data architecture aligns with the company's goals and supports the needs of our applications.
Key Responsibilities
• Design and implement data pipelines to collect, process, and store large datasets.
• Develop and maintain scalable ETL (Extract, Transform, Load) processes.
• Collaborate with software engineers and data scientists to understand data requirements and deliver solutions.
• Optimize and maintain data architecture, ensuring data quality, integrity, and availability.
• Implement data governance and security measures to protect sensitive information.
• Monitor and troubleshoot data pipelines to ensure reliable operation.
• Stay up-to-date with the latest industry trends and technologies in data engineering.
Qualifications
• Proven experience with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
• Experience with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).
• Strong experience with ETL tools and frameworks (e.g., Apache NiFi, Airflow, Talend).
• Proficiency in programming languages such as Python, Java, or Scala.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related data services.
• Knowledge of big data technologies (e.g., Hadoop, Spark, Kafka).
• Strong understanding of data modeling and database design.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work effectively in a team environment.
Nice to Have (but not mandatory)
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Knowledge of machine learning pipelines and model deployment.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
Additional Requirements
• To be considered for this position, candidates must complete an assessment.
• Preferred start date around 1st August.
• This position is onsite around Kennedy Bridge in Mumbai
Role Overview
We are seeking a highly skilled and experienced Data Engineer to join our dynamic team. In this role, you will be crucial in managing and optimizing the data infrastructure required to support our cutting-edge applications. You will work closely with our development and product teams to ensure our data architecture aligns with the company's goals and supports the needs of our applications.
Key Responsibilities
• Design and implement data pipelines to collect, process, and store large datasets.
• Develop and maintain scalable ETL (Extract, Transform, Load) processes.
• Collaborate with software engineers and data scientists to understand data requirements and deliver solutions.
• Optimize and maintain data architecture, ensuring data quality, integrity, and availability.
• Implement data governance and security measures to protect sensitive information.
• Monitor and troubleshoot data pipelines to ensure reliable operation.
• Stay up-to-date with the latest industry trends and technologies in data engineering.
Qualifications
• Proven experience with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
• Experience with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).
• Strong experience with ETL tools and frameworks (e.g., Apache NiFi, Airflow, Talend).
• Proficiency in programming languages such as Python, Java, or Scala.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related data services.
• Knowledge of big data technologies (e.g., Hadoop, Spark, Kafka).
• Strong understanding of data modeling and database design.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work effectively in a team environment.
Nice to Have (but not mandatory)
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Knowledge of machine learning pipelines and model deployment.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
Additional Requirements
• To be considered for this position, candidates must complete an assessment.
• Preferred start date around 1st August.
• This position is onsite around Kennedy Bridge in Mumbai
💡 Quick Summary
Seeking a career-building opportunity? The Data Engineer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
