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Data Engineer (ETL Pipeline)
Encora
posted 4d ago
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Job Description
The Data Engineer will play a critical role in the data modernization project by focusing on the design, automation, and optimization of ETL pipelines. This role will primarily involve ensuring seamless integration with Snowflake and PostgreSQL and implementing robust data transformation workflows. The Data Engineer will collaborate closely with the Airflow Specialist and the Data Architect to maintain alignment with the overall data architecture while focusing on delivering high-performance data pipelines.
Responsibilities and Duties
- ETL Pipeline Development & Automation:
- Design, develop, and automate ETL pipelines to migrate data from legacy systems to modern platforms.
- Leverage tools such as AWS Glue, dbt, and Python to support data ingestion, transformation, and integration.
- Maintain high-quality, scalable pipelines capable of processing large datasets efficiently.
- Data Transformation & Integration:
- Implement data transformation workflows to prepare data for analytical workloads in Snowflake and PostgreSQL environments.
- Ensure data consistency and integrity during transformations by leveraging best practices in schema enforcement and validation.
- Collaboration & Alignment:
- Work closely with the Airflow Specialist to align ETL workflows with orchestration pipelines.
- Collaborate with the Data Architect to ensure data models and pipelines align with overall system design and project goals.
- Process Optimization:
- Identify opportunities for optimizing ETL processes to enhance performance and reduce costs.
- Implement change data capture (CDC) mechanisms and incremental updates to ensure timely data availability.
- Data Quality & Monitoring:
- Support the integration of automated validation tools, such as Great Expectations, into ETL workflows.
- Monitor ETL processes to ensure consistent performance and timely issue resolution.
Qualifications and Skills
- 8+ years of experience in data engineering, with a focus on building and automating ETL pipelines.
- Hands-on expertise with AWS Glue, Python, and dbt for data transformation and pipeline development.
- Proven experience integrating data workflows into Snowflake and PostgreSQL.
- Strong understanding of modern data architecture principles and ETL best practices.
- Familiarity with data governance tools such as DataHub and validation frameworks like Great Expectations.
- 5+ years of experience in data engineering, with a focus on building and automating ETL pipelines.
- Hands-on expertise with AWS Glue, Python, and dbt for data transformation and pipeline development.
- Proven experience integrating data workflows into Snowflake and PostgreSQL.
- Strong understanding of modern data architecture principles and ETL best practices.
- Familiarity with data governance tools such as DataHub and validation frameworks like Great Expectations.
Additional Requirements
- Experience with change data capture (CDC) and real-time data processing mechanisms.
- Familiarity with Apache Spark for large-scale data transformation tasks.
- Proficiency in integrating ETL workflows into Airflow orchestrations.
- Strong analytical skills for identifying performance improvement opportunities in data workflows.
Employment Type: Full Time, Permanent
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What Data Engineer at Encora are saying
Rating based on 6 Data Engineer
reviews
Anonymous · Data Science & Machine Learning
in Hyderabad
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Company offers permanent wfh
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Hikes, employee benefits and work culture
Read 6 reviewsData Engineer salary at Encora
reported by
23
employees
with 2-5
years exp.
₹4
L/yr - ₹15.4
L/yr
13%
less
than the average Data Engineer Salary in India
View more details
What Encora employees are saying about work life
based on 684 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Encora Benefits
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2nd floor, Module 7, North Block, Phase 2, IG3 Infra Ltd. IT SEZ, Pallavaram, Thoraipakkam
Chennai
600097
600097
Chennai Office
No. 11, Doxa Business Center, Rattha Tek Tower, OMR Road Thoraipakkam
Chennai 600097, India
Chennai
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