Senior Data Engineer

Job Description

Job Summary:

Using architectures and data engineering techniques to design and provide tools dedicated to data extraction, analysis and enhancement. Help define, implement, and ship significant, innovative improvements to the data infrastructure to further Synergy's Enterprise data goals.

Job Location: Chennai (Work from Office)

Qualification:

Master's / Bachelor's degree in Computer Science, Computer Application, Information Systems or equivalent.

Experience Required:

Strong experience (5 to 7 years) writing complex SQL / NoSQL statements and ETL processes.

Experience (5 to 7 years) on Big Data technologies such as Spark, ElasticSearch, Azure Databricks, Python

Proven experience (5 to 7 years) in data engineering in complex environments (e.g. multitenant architecture, Cloud.

Deep understanding of E2E software development in a team, and a track record of shipping software on time

Experience consuming enterprise web-services (REST, JSON/XML, MySQL/PostgreSQL) and expose own services to help design the next generation of back-end APIs and functionality.

Aptitude with ETL concepts and tools, including experience ingesting, processing, and transforming a variety of data at scale.

Proficiency with SQL and NoSQL databases, data warehousing concepts, and cloud-based analytics database (e.g. Snowflake , Databricks or Redshift) administration

Skills Required:

Problem Solver

Positive Attitude

Resilience

Commitment & Accountability

Learnability and Adaptability

Roles & Responsibilities

1.Ensure that the team designs, develops, and delivers high-quality, performant, scalable, well-tested, documented, and sensible technical solutions.

2.Contribute to build & maintain the global analytic environment to ease exploitation of data.

3. Contribute to build data engineering pipelines & API for Data Science / Big Data applications, take active part in data architecture conception, environments design, core components development based on conceptual architecture.

4. Act as a SME and tech lead / veteran for any data engineering question and manage data engineers within the Data and Analytics department.

5. Promote services, contribute to the identification of innovative initiatives within the Group, share information on new technologies in dedicated internal communities.

6. Ensure compliance with policies related to Data Management and Data Protection.