Mumbai, Maharashtra, India
Information Technology
Full-Time
FiftyFive Technologies
Overview
The Opportunity
We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic data team in Gurgaon.
The ideal candidate will have a strong background in designing, building, and maintaining robust, scalable, and efficient data pipelines and data warehousing solutions.
You will play a crucial role in transforming raw data into actionable insights, enabling data-driven decision-making across the Responsibilities :
We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic data team in Gurgaon.
The ideal candidate will have a strong background in designing, building, and maintaining robust, scalable, and efficient data pipelines and data warehousing solutions.
You will play a crucial role in transforming raw data into actionable insights, enabling data-driven decision-making across the Responsibilities :
- Data Pipeline Development : Design, develop, construct, test, and maintain highly scalable data pipelines using various ETL/ELT tools and programming languages (e.g., Python, Scala, Java).
- Data Warehousing : Build and optimize data warehouse solutions (e.g., Snowflake, Redshift, BigQuery, Databricks) to support reporting, analytics, and machine learning initiatives.
- Data Modeling : Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and design optimal data models (dimensional, relational, etc.).
- Performance Optimization : Identify and implement solutions for data quality issues, data pipeline performance bottlenecks, and data governance challenges.
- Cloud Technologies : Work extensively with cloud-based data platforms (AWS, Azure, GCP) and their respective data services (e.g., S3, EC2, Lambda, Glue, Data Factory, Azure Synapse, GCS, Dataflow, BigQuery).
- Automation & Monitoring : Implement automation for data pipeline orchestration, monitoring, and alerting to ensure data reliability and availability.
- Mentorship : Mentor junior data engineers, provide technical guidance, and contribute to best practices and architectural decisions within the data team.
- Collaboration : Work closely with cross-functional teams, including product, engineering, and business intelligence, to deliver data solutions that meet business needs.
- Documentation : Create and maintain comprehensive documentation for data pipelines, data models, and data Qualifications :
- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related quantitative field.
- 5+ years of professional experience in data engineering, with a strong focus on building and optimizing data pipelines and data warehousing solutions.
- Proficiency in at least one programming language commonly used in data engineering (e.g., Python, Scala, Java).
- Python is highly preferred.
- Extensive experience with SQL and relational databases.
- Demonstrated experience with cloud data platforms (AWS, Azure, or GCP) and their relevant data services.
- Strong understanding of data warehousing concepts (e.g., Kimball methodology, OLAP, OLTP) and experience with data modeling techniques.
- Experience with big data technologies (e.g., Apache Spark, Hadoop, Kafka).
- Familiarity with version control systems (e.g., Skills :
- Experience with specific data warehousing solutions like Snowflake, Redshift, or Google BigQuery.
- Knowledge of containerization technologies (Docker, Kubernetes).
- Experience with CI/CD pipelines for data solutions.
- Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker).
- Understanding of machine learning concepts and how data engineering supports ML workflows.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work independently and as part of a collaborative team in a fast-paced environment
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