Data Analytics Engineer

Job Description

Job Title: Data Analytics Engineer

Location: Gurgao

Company: Confidential

Job Description:

As a Data Analytics Engineer at [Your Company Name], you will play a pivotal role in designing, building, and maintaining the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a variety of data sources. You will collaborate with data scientists, analysts, and other stakeholders to ensure data accuracy, accessibility, and performance.

Responsibilities:

Design, implement, and maintain scalable ETL processes to ingest data from multiple sources.

Develop and optimize data warehouses and data lakes to store structured and unstructured data.

Create and maintain data pipelines using tools and technologies such as SQL, Python, Spark, Hadoop, and others.

Collaborate with data scientists and analysts to understand data requirements and translate them into technical solutions.

Ensure data quality and integrity by implementing data validation and monitoring processes.

Build and maintain real-time data processing systems.

Perform data analysis and generate insights to support business decision-making.

Optimize and tune databases for performance and scalability.

Stay up-to-date with the latest industry trends and technologies in data engineering and analytics.

Provide technical guidance and support to junior data engineers and analysts.

Requirements:

Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field.

Proven experience as a Data Engineer, Data Analyst, or similar role.

Strong proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, SQL Server).

Experience with big data technologies such as Hadoop, Spark, Kafka, and others.

Proficiency in programming languages like Python, Java, or Scala.

Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

Strong understanding of data modeling, data warehousing, and ETL processes.

Excellent problem-solving skills and attention to detail.

Strong communication and collaboration skills.

Ability to work in a fast-paced and dynamic environment.

Preferred Qualifications:

Experience with data visualization tools like Tableau, Power BI, or similar.

Knowledge of machine learning techniques and frameworks.

Familiarity with containerization and orchestration tools like Docker and Kubernetes.

Certifications in data engineering or cloud technologies.

Benefits:

Competitive salary and benefits package.

Opportunities for professional growth and development.

Collaborative and innovative work environment.

Flexible working hours and remote work options.

Health, dental, and vision insurance.