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PythonJob Description: Data Engineer
Location: Ahmedabad
Experience: 5 to 6 years
Employment Type: Full-Time
We are looking for a highly motivated and experienced Data Engineer to join our team. As a Data Engineer, you will play a critical role in designing, building, and optimizing data pipelines that ensure the availability, reliability, and performance of our data infrastructure. You will collaborate closely with data scientists, analysts, and cross-functional teams to provide timely and efficient data solutions.
Responsibilities
● Design and optimize data pipelines for various data sources
● Design and implement efficient data storage and retrieval mechanisms
● Develop data modelling solutions and data validation mechanisms
● Troubleshoot data-related issues and recommend process improvements
● Collaborate with data scientists and stakeholders to provide data-driven insights and solutions
● Coach and mentor junior data engineers in the team
Skills Required:
● Minimum 4 years of experience in data engineering or related field
● Proficient in designing and optimizing data pipelines and data modeling
● Strong programming expertise in Python
● Hands-on experience with big data technologies such as Hadoop, Spark, and Hive
● Extensive experience with cloud data services such as AWS, Azure, and GCP
● Advanced knowledge of database technologies like SQL, NoSQL, and data warehousing
● Knowledge of distributed computing and storage systems
● Familiarity with DevOps practices and power automate and Microsoft Fabric will be an added advantage
● Strong analytical and problem-solving skills with outstanding communication and collaboration abilities
Qualifications
- Bachelor's degree in Computer Science, Data Science, or a Computer related field
1. Communicate with the clients and understand their business requirements.
2. Build, train, and manage your own team of junior data engineers.
3. Assemble large, complex data sets that meet the client’s business requirements.
4. Identify, design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
5. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources, including the cloud.
6. Assist clients with data-related technical issues and support their data infrastructure requirements.
7. Work with data scientists and analytics experts to strive for greater functionality.
Skills required: (experience with at least most of these)
1. Experience with Big Data tools-Hadoop, Spark, Apache Beam, Kafka etc.
2. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
3. Experience in ETL and Data Warehousing.
4. Experience and firm understanding of relational and non-relational databases like MySQL, MS SQL Server, Postgres, MongoDB, Cassandra etc.
5. Experience with cloud platforms like AWS, GCP and Azure.
6. Experience with workflow management using tools like Apache Airflow.
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