Sr. Data Engineer

Blumetra Solutions

Hyderabad

Hybrid

INR 1,000,000 - 1,500,000

Full time

14 days+

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Job summary

A tech company in Hyderabad is seeking a highly skilled Senior Data Engineer to design and optimize data architectures. The role involves working with cloud data solutions and big data technologies, requiring expertise in AWS, Python, and SQL among other skills. Candidates should have 4-7 years of experience to effectively build scalable data pipelines and infrastructure.

Qualifications

4 - 7 years of experience in data engineering.
Strong expertise in AWS data services.
Experience with Hadoop, Spark, Kafka, and related frameworks.

Responsibilities

Design and implement robust ETL/ELT processes for data ingestion and transformation.
Architect data solutions using cloud platforms like AWS.
Implement best practices for data quality and security.

Skills

AWS

Python

SQL

Airflow

DBT

Hadoop

Spark

Kafka

MongoDB

Cassandra

PostgreSQL

Talend

Informatica

Education

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field

Tools

Apache Airflow

Talend

DBT

Snowflake

Job description

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Job Summary

We are seeking a highly skilled Sr. Data Engineer to understand the design, implementation, and optimization of scalable data architectures. The ideal candidate will have a deep understanding of data modeling, ETL processes, cloud data solutions, and big data technologies. You will work closely with cross-functional teams to build robust, high-performance data pipelines and infrastructure to enable data-driven decision-making.

Data Pipeline Development: Design and implement robust ETL/ELT processes to ensure efficient data ingestion, transformation, and storage.
Big Data & Cloud Solutions: Architect data solutions using cloud platforms like AWS, Azure, or GCP, leveraging services such as Snowflake, Redshift, BigQuery, and Databricks.
Database Optimization: Ensure performance tuning, indexing strategies, and query optimization for relational and NoSQL databases.
Data Governance & Security: Implement best practices for data quality, metadata management, compliance (GDPR, CCPA), and security.
Collaboration & Leadership: Work closely with data engineers, analysts, and business stakeholders to translate business requirements into scalable solutions.
Technology Evaluation: Stay updated with emerging trends, assess new tools and frameworks, and drive innovation in data engineering.

Required Skills

Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
Experience: 4 - 7years of experience in data engineering
Cloud Platforms: Strong expertise in AWS data services.
Big Data Technologies: Experience with Hadoop, Spark, Kafka, and related frameworks.
Databases: Hands-on experience with SQL, NoSQL, and columnar databases such as PostgreSQL, MongoDB, Cassandra, and Snowflake.
Programming: Proficiency in Python, Scala, or Java for data processing and automation.
ETL Tools: Experience with tools like Apache Airflow, Talend, DBT, or Informatica.
Machine Learning & AI Integration (Preferred): Understanding of how to architect data solutions for AI/ML application

Skills: airflow,kafka,mongodb,cassandra,talend,snowflake,dbt,postgresql,java,python,data engineering,spark,sql,scala,hadoop,aws,informatica

Seniority level