{"id":"80f18115-7903-46f4-8e4d-738fec815277","company":{"id":"9b80bb8f-ffcb-4614-9263-216041cd494b","company_stack":[],"company_gallery":[],"company_stats":[],"company_about_section":null,"company_benefit_section":[],"company_testimonial_section":[],"company_culture_section":[],"onboarding_process":null,"ticker_logos":[],"gtn_companies":[],"role_category":[],"cta_color":"#333333","name":"Straive","short_name":"CMP363","slug":"straive","description":null,"short_description":null,"about_us":null,"video_link":null,"logo_url":"https://talent500-public-prod-cb.s3.ap-south-1.amazonaws.com/company_logos/New_logoWhite_f3828439e996457db7531ecf9769a3ab.png","job_logo":null,"job_logo_url":"https://talent500-public-prod-cb.s3.ap-south-1.amazonaws.com/company_job_logos/T500_nogoTz6_a4600b31ac8d42be8fc807e2392f2e0d.png","show_powered_by_talent500_logo":false,"website":null,"redirect_logo_url":"https://talent500.com//joblist/?search_term=Straive","linkedIn":null,"facebook":null,"twitter":null,"instagram":null,"hero_type":"1","nav_bar_color":null,"nav_items_color":"#FFFFFF","gallery_heading":"Gallery","company_image_url":"","meta_title":null,"meta_description":null,"hero_h1":null,"hero_h2":null,"primary_color":"#FF9900","secondary_color":"#333333","cta_text":null,"jobs_subtitle":null,"mission":null,"stack_section_title":null,"stack_section_description":null,"powered_by_logo_url":"https://d36dj8u11ystvj.cloudfront.net/Talent500_PoweredBy+(1).png","cta_bg_color":"#FFFFFF","cta_text_color":"#FFA000","cta_border_color":"#FFFFFF","h1_font_size":null,"h2_font_size":null,"h3_font_size":null,"h4_font_size":null,"body_size_1":null,"body_size_2":null,"h1_font_w":null,"h2_font_w":null,"h3_font_w":null,"h4_font_w":null,"body_w_1":null,"body_w_2":null,"public_name":null,"use_public_name":false,"unique_id":"567e1931-fc5b-431a-bbb8-6145f2d074a7","head_favicon_url":"","head_title":null,"privacy_policy_name":"Privacy Policy","privacy_policy_url":null,"mandate_privacy_policy":null,"ticker_title":null,"publish":false,"company_font_family":"5","use_company_font_on_jobs_page":true,"gallery_section_name":null,"about_section_name":null,"testimonial_section_name":null,"benefits_section_name":null,"culture_section_name":null,"jobs_section_name":null,"is_job_displayable":true,"is_onboarding_skip":false,"company_specific_workflow":0,"third_party_company":true,"is_vendor_third_party_company":true,"priority_order":0,"order_of_about_role":1,"order_of_about_company":2,"whatsapp_company_logo":null,"whatsapp_company_logo_url":"","whatsapp_job_bg_color":null,"whatsapp_job_text_color":null,"engagement_type":null,"font_family":5},"location":"Mumbai","primary_skills":["ETL","data warehouse","BI (Qlik)","Advanced Data Analytics","AWS RDS","AWS Fargate","Snowflake","PostgreSQL","MS SQL","Java","Python","AWS Glue","Kanban","SAFe","SCRUM","cloud-enabled technologies","data engineering","data pipelines","data platforms","data solution prototypes","data quality","data reliability","analytical tooling","data migration","critical-thinking","analytical","problem-solving","communication"],"secondary_skills":[],"experience_range":"7 - 10 years","job_qualifications":["Bachelor’s in Computer Science","master’s degree in Information Technology","Engineering","related quantitative discipline"],"screening_questions":[],"title":"Senior Data Engineer","description":"
\n \n Job Description:\n \n
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\n Analyse relevant internally and externally sourced data (raw data) to generate BI and Advanced\n
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\n Analytics datasets based on your stakeholders’ requirements\n
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\n Design data pipelines to curate sourced data into the inhouse data warehouse\n
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\n Design data marts to facilitate dataset consumption out of the inhouse data warehouse by business and IT internal stakeholders\n
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\n Design data model changes that align with the inhouse data warehouse standards\n
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\n Define migration execution activities to move data from existing database solutions to the inhouse data warehouse Engineer\n
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\n Regular housekeeping of raw data and data stored in the inhouse data warehouse\n
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\n Build and maintenance of data pipelines and data platforms\n
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\n Build data solution prototypes\n
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\n Explore ways to enhance data quality and reliability\n
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\n Identify and realize opportunities to acquire better data (raw data)\n
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\n Develop analytical tooling to better support BI and Advanced Data Analytics activities\n
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\n Execute data migration from existing databases to the inhouse data warehouse\n
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\n Promote and champion data engineering standards and best-in-class methodology\n
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\n \n
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\n \n Required Skills:\n \n
\n
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\n Bachelor’s or master’s degree in Computer Science, Information Technology, Engineering or related quantitative discipline from a top tier university.\n
\n
\n Certified in AWS Data Engineer Specialty or AWS Solution Architect Associate\n
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\n Snowflake SnowPro Core Certification\n
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\n 7+ years of experience in data engineering or relevant working experience in a similar role, preferably in the financial industry\n
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\n Strong understanding or practical experience of at least one common Enterprise Agile Framework e.g., Kanban, SAFe, SCRUM, etc.\n
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\n Strong understanding of ETL, data warehouse and BI(Qlik) and Advanced Data Analytics concepts\n
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\n Deep knowledge of cloud-enabled technologies – AWS RDS and AWS Fargate, etc.\n
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\n Experience with databases and data warehouses - Snowflake, PostgreSQL, MS SQL\n
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\n Strong programming skills with advanced knowledge of Java and/or Python\n
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\n Practical experience with ETL tools such as AWS Glue, etc.\n
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\n Strong critical-thinking, analytical and problem-solving skills\n
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\n Excellent communicator with team-oriented approach.\n