Experience
4 - 8 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
Senior Data Analytics Engineer
Job Type
ONSITE
Job Description
A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Responsibilities:
- Design, develop, and maintain ETL/ELT pipelines using AWS services (Glue, Lambda, Step Functions, Data Pipeline, EMR).
- Build and optimize data lakes and data warehouses using Amazon S3, Redshift, Athena, and Snowflake (if applicable).
- Implement and manage data ingestion frameworks from structured and unstructured data sources (APIs, RDBMS, streaming, etc).
- Ensure data quality, integrity, and security using tools like AWS Lake Formation, IAM, and KMS.
- Strong proficiency in SQL, Python, and PySpark .
- Expertise in AWS data ecosystem including Glue, Redshift, S3, Lambda, EMR, and Athena.
Mandatory skill sets:
- Strong proficiency in SQL, Python, and PySpark .
- Expertise in AWS data ecosystem including Glue, Redshift, S3, Lambda, EMR, and Athena.
Preferred skill sets:
- AWS Certified Data Analytics Specialty or AWS Certified Solutions Architect.
Education qualification:
B.Tech / M.Tech / MBA / MCA
Education
Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering Required Skills
AWS Batch Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data PipelineNo Referrers Available
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