Hiring For Data Engineer
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Job Summary
Job Description
Location: Bangalore
Experience Range: 5 to 7 Years
Role Overview:
As a Data Engineer you will play a key role in designing developing and optimizing data pipelines and storage solutions in a complex enterprise-scale data warehouse environment. You will contribute to full life-cycle software development projects leveraging modern technologies and best practices to deliver high-quality actionable data solutions.
Key Responsibilities:
- Participate in the full software development lifecycle for enterprise data projects from requirements gathering to deployment and support.
- Design develop and maintain robust ETL processes and data pipelines using Snowflake Hadoop Databricks and other modern data platforms.
- Work with a variety of databases: SQL (MySQL Postgres SQL Vertica) NoSQL (MongoDB Cassandra Azure Cosmos DB) and distributed/big data solutions (Apache Spark Cloudera).
- Write advanced SQL queries and perform complex data analysis for business insights and operational reporting.
- Develop scripts in Python and shell for data manipulation automation and orchestration.
- Perform data modelling analysis and preparation to support business intelligence and analytics solutions.
- Maintain and optimize Unix/Linux file systems and shell scripts.
- Collaborate with cross-functional teams to translate business requirements into scalable data solutions.
- Present analytical results and recommendations to technical and non-technical stakeholders supporting data-driven decision making.
- Troubleshoot diagnose and resolve complex technical issues across the data stack.
- Stay current with industry trends tools and best practices to continuously improve data engineering processes.
Required Skills and Qualifications:
- Bachelors or Masters degree in Computer Science Information Technology Engineering or a related field (or equivalent experience).
- Demonstrated full life-cycle experience in enterprise software/data engineering projects.
- Hands-on experience with Snowflake and Hadoop platforms.
- Proficient in SQL Postgres SQL Vertica and data analysis techniques.
- Experience with at least one SQL database (MySQL Postgres SQL) and one NoSQL database (MongoDB Cassandra Azure Cosmos DB).
- Experience with distributed/big data platforms such as Apache Spark Cloudera Vertica Databricks or Snowflake.
- Extensive experience in ETL shell or Python scripting data modelling analysis and data preparation.
- Proficient in Unix/Linux systems file systems and shell scripting.
- Strong problem-solving and analytical skills.
- Ability to work independently and collaboratively as part of a team; proactive in driving business decisions and taking ownership of deliverables.
- Excellent communication skills with experience in presentation design development and delivery to communicate technical insights and recommendations effectively.
Preferred/Desirable Skills:
- Industry certifications in Snowflake Databricks or Azure Hyperscale are a strong plus.
- Experience with cloud platforms such as AWS Azure or Snowflake.
- Familiarity with BI reporting tools like Power BI or Tableau.
- Proficient in using Git for branching merging rebasing and resolving conflicts in both individual and team-based projects.
- Familiar with GitHub Copilot to accelerate code writing refactoring and documentation tasks.
- Knowledge of industry best practices and emerging technologies in data engineering and analytics.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
As Encora Inc. expands its footprint in Latin America, its acquisition of Nearsoft provides our clients with a unique chance to Nearshore on a global scale.
